100+ Women in the field of AI

Women play an important role in shaping the future of Tech and AI. By increasing the visibility of female role models in Tech and AI and promoting them, NORA aims to inspire a more inclusive agenda and equality for future generations. We believe in displaying the breadth of opportunities for AI in society, by showcasing researchers, practitioners and prominent actors involved in research, innovation and business.

This list is an attempt to give an overview of the incredible women that are a driving force in the field of artificial intelligence in Norway. By pushing the boundaries of what is possible, and by expanding our knowledge of the numerous and diverse potential of AI in health, infrastructure, climate, energy and language (amongst others), these women play an important role as role models for the future generation of female scientists, engineers and entrepreneurs. It must be pointed out that the list is not comprehensive, and our aim is to expand the list continuously.

*Please note that the list is not made in any ranked order. The numbers are simply used for navigation.

Want to add a colleague or friend to the list? Email birte.hansen@nora.ai !

1. Abbey Lin

Chief Compliance Officer at Crayon

Abbey Lin has worked in the field of Ethics and Compliance for almost two decades. Most recently with Microsoft before joining Crayon as Chief Compliance Officer. It was through these experiences that she saw the emerging ethical challenges and opportunities shaping AI and wanted more people to be aware. During her maternity leave a few years ago, she created Ethical AI Resources, a website and newsfeed that gathers information and the latest news about responsible AI, which has become a popular resource on twitter www.Twitter.com/AIethical (@aithical). In addition Abbey is the co-founder of Oslo.AI, which is helping build and support a community of AI enthusiasts in Oslo through events and networking opportunities. Abbey is also a board member of Visualyst.co, an AI startup focused on Video compliance.

2. Alexandra Gunderson

Co-founder & CEO

Alexandra Gunderson is a brilliant engineer and data scientist, co-founder of Unifai, and leader of the Women in Data Science group in Oslo. She has a dual master's in Biomedical Engineering and Computational Methods (RWTH Aachen, Universiteit Gent). Before moving to Norway, her career started in Paris as an engineer for various high tech companies.
In Norway, Alexandra developed simulations to evaluate subsea equipment and structural integrity for the oil industry, and for many years was Chief Data Scientist at a Scandinavian consulting firm. At Unifai, Alexandra has developed technologies that enables engineers and scientists to build high-quality data sets for advanced machine learning systems.

3. Alise Danielle Midtfjord

PhD Candidate in Machine Learning at University of Oslo

Alise is a brilliant researcher currently working on analysis of multidimensional environmental data to create an artificial intelligence warning system for airport runway conditions. Alise is interested in Machine Learning and Data Science, Explainable Artificial Intelligence and combining physics and AI. Having previously worked at Accenture with new technologies including machine learning and extended reality, Alise started her PhD at the University of Oslo at the Department of Mathematics in 2019. Alise is passionate about creating Explainable Artificial Intelligence as she believes that “Explainable Artificial Intelligence (XAI) is a necessary step towards creating ethical, responsible and trustworthy AI, which corresponds to e.g. the regularisations set by GDPR and the Norwegian National Strategy for Artificial Intelligence”.

4. Ana Ozaki

Associate Professor, University of Bergen, Department of Informatics

Ana Ozaki was mentioned many times when we asked our network for people that deserve to be on this list. Ozaki is an Associate Professor at the University of Bergen. Her focus within artificial intelligence is learning theory, knowledge representation and reasoning. How does reasoning processes and learning interact? This is one of the questions Ozaki is concerned with. She is a member of the editorial boards of the Journal of Machine Learning Research and the Journal of Web Semantics. She has also recently worked as Program Committee Chair for the 27th International Symposium on Temporal Representation and Reasoning. The current work of Ozaki is with strategies to learn Horn rules from neural networks by posing them queries. She firmly believes recent advances need to be accompanied by theoretical development so systems can provide formal guarantees that contribute to more trustworthy systems.

5. Anam Javaid

Communication adviser at the Norwegian Artificial Intelligence Research Consortium

Anam Javaid was part of the 'original two' in the Norwegian Artificial Intelligence Research Consortium. As such, she has taken part in building the organisations from nothing to a national actor with great contributions across the field of artificial intelligence. Anam is responsible for NORA's internal and external communication, webpages, newsletter, social media and branding. Yet she has also played an important strategic role in developing NORA over the years and deserves to be celebrated as a role model in the field of artificial intelligence.

6. Anita Schjøll Brede

CEO & Co-founder of IRIS.ai

If people ask for a rockstar within Norwegian technology the most obvious answer is to exclaim: “Anita Scjøll Brede!” There are a variety of reasons for this including her presence in the Norwegian AI ecosystem, yet it is most of all for her talent and ability to make the societal impact of artificial intelligence both clear and compelling that makes her impossible to forget. She is a storyteller that weaves technology into being together with an international and diverse team distributed across the world. She is a serial entrepreneur with experience from several deep tech ventures, and is currently developing AI tools and applications that allow humans to make sense of more of the world’s scientific knowledge — to apply it for good.

7. Anna Jenul

PhD candidate at the Faculty of Science and Technology at the Norwegian University of Life Sciences

Anna Jenul is a PhD candidate at the Faculty of Science and Technology at the Norwegian University of Life Sciences. Anna Jenul holds a master’s degree in mathematics from the University of Klagenfurt and currently pursues a PhD degree in data science at the Norwegian University of Life Sciences (NMBU). In her research, she develops machine learning algorithms and statistical methods that focus on analysis of healthcare data such as treatment outcome prediction of cancer patients. Her research interests include feature selection, multiblock methods, as well as Bayesian and computational statistics. The combination of feature selection and multi-block methods presents a promising approach in healthcare, especially in cases where the number of patients is smaller than the number of features.

8. Anne Cathrine Gjærde

Dean at the Faculty of Science and Technology at the Norwegian University of Life Sciences, Member of the Board of Directors at the Norwegian Artificial Intelligence Research Consortium

Anne Cathrine Gjærde is the Dean at the Faculty of Science and Technology at the Norwegian University of Life Sciences. She has also been Member of the Board of Directors at the Norwegian Artificial Intelligence Research Consortium since 2018. She holds a PhD in Electrical Engineering from NTNU. She has a long experience leading a range of initiatives within research, particularly within energy. She is also a Member of the Board of Directors at the Faculty of Computer Science, Engineering and Economics at Østfold University College.

9. Anne Håkonsson

Professor in Computer Science with focus on Artificial Intelligence, at UiT – The Arctic University of Norway, Chair of the CAI Lab

If you are interested in the field of AI, you have surely come across the notable researcher Anne Håkonsson, a AI celeb in her own right due to her extensive contributions to the field. Anne is a Professor at the Department of Computer Sciences at the Arctic University of Norway and the Chair of the Computational Analytics and Intelligence Lab (CAI Lab). Anne has made extensive strides in the field of AI, as shown by her multiple papers, articles and other materials published in the field, as well as an exhaustive list of published books. Professor Anne Håkansson research lies within Computer science with the focus on Artificial Intelligence, and reasoning strategies, for different application areas, among others e-business, environmental impact assessment, and context. Håkansson has conducted research within Knowledge-based systems and Knowledge Base modelling, Reasoning, Graphic Representation, Visualisation, Visual Programming, Declarative Programming, Multi-agent systems, and Meta-agents. A brilliant and often featured speaker at various international conferences, Anne continues to inspire and encourage boundary breaking research in the use of AI in e-commerce, environmental impact assessments, Smart Cities and contexts.

10. Anne Kjersti Befring

Associate Professor, Department of Public and International Law at the University of Oslo

Anne Kjersti Befring is a Norwegian lawyer and researcher who co-wrote a collection of articles with legal perspective on artificial intelligence together with Inger Johanne Sand in 2020. Her doctoral thesis on legal perspectives on personalized medicine was published as a book in 2019. It contains methodological approaches to jurisprudence that matter to new technologies.

She was the project leader for law and ethics in the BigMed project lasting from 2016-2020. This project was focused on legal perspectives on big data within healthcare. She previously led work on law within various roles employed in the Norwegian state. Her experience spans the Ministry of Health and Care Services, the Norwegian Directorate of Health and the Norwegian Board of Health. She was the legal director and director of negotiations for the Norwegian Medical Association.

Within the Department of Public and International Law at the University of Oslo, Befring is responsible for law within healthcare and to coordinate the faculty’s efforts within life science. If AI is to work in healthcare in Norway it is highly likely, if not inevitable, that Befring will have contributed to making it possible. Additionally Befring has from June 2020 been the Chairperson of the nordic network Nordic PerMed Law that contributes to organising lawyers within healthcare in the Nordic countries.

11. Anne Marthine Rustad

Research Manager, Analytics and Artificial Intelligence at SINTEF Digital

Anne Marthine Rustad has been at SINTEF Digital since March 2017. She holds a PhD in Marine technology from NTNU with a research stay at Massachusetts Institute of Technology (MIT). She brings competence from the industry to the table with her background in a variety of roles in Aker Solutions, DNV and Boston Consulting Group. In Norway she represents and connects, yet her presence is not limited to the Norwegian stage – with her international presence at conferences such as DLD Conference in 2019 – she shines as the co-manager of the Norwegian Artificial Intelligence Network for Europe (NAINE). NAINE contributes to an increased number of EU proposals on AI with Norwegian involvement. NAINE is actively monitoring selected calls and activities, forwarding information and coordinating hearings for calls together with the Research Council of Norway. As part of this work she brings the AI community together through organizing two workshops yearly and her constant efforts to catapult the efforts in Norwegian AI onto the global stage.

12. Anne Schistad Solberg

Professor in the Research Group for Digital Signal Processing and Image Analysis, Department of Informatics - UiO

Anne Solberg brings an understanding of image analysis that is hard to match. Her competencies within machine learning applications range from: remote sensing, sonar imaging, medical image analysis, seismic image analysis and analysis of petrophysical images. She is very engaged to consider the consequence of industry on the environment. One example of her engagement is her work 2002-2007 studying the long-term effects of emissions from the petroleum industry, using algorithms for automatic detection of oil spills in SAR images. Within remote sensing she has worked with data fusion, SAR image analysis, and hyperspectral image classification. In addition to her engagement for the environment she has worked on SAR images of land areas and sea ice. She has been active through her position to educate the next generation working on image analysis.

13. Annette Stephansen

Research Manager Digital Systems, AI and Big Data at NORCE. Board member of the Norwegian Artificial Intelligence Research Consortium (NORA).

Humanity is attempting to understand how we can further harness energy from wind, and rethink our energy systems. Anette Stephansen with her PhD in Applied Mathematics and her research within renewable energy is pushing this movement forward, or perhaps we could say harnessing this increased focus. She has been a chair at offshore wind conferences Science Meets Industry and EERA DeepWind, and active in the EERA JP Wind network. Her skills relate to data analysis and simulations, yet she is a competent leader of research and networks. She has been active as centre coordinator of the FME centre NORCOWE on offshore wind, which operated between 2009 and 2017. The Norwegian Research Centre (NORCE) is a Norwegian government-owned research institute. It is one of the largest research organisations of Norway and was founded in 2017 through the merger of several university-owned research institutes and has around 900 employees. She has also been contributing to the board of NORA.ai

14. Astrid Undheim

Executive Director at SpareBank1 SMN, Technology and Development

Astrid Undheim holds a PhD in communications technology from NTNU (2009) as well as a Master of Science in Communication technology from NTNU. After this she started as a research scientist at Telenor, where she later became VP of Next Generation Services, then VP Analytics & AI. With her role, leading the development of technology as an executive director for one of the largest banks in Norway, she is one of the most powerful women in Norway working with technology. As a Norwegian bank SpareBank 1 SMN has a savings bank based in Trøndelag. The bank has 71 branches in 51 municipalities in Central Norway and is part of the bank alliance SpareBank 1.

She is also a member of the council of SSB (Statistics Norway) and has wide experience from different public committees.

15. Asuncion Lera St.Clair

Program Director, Digital Assurance - Group Technology and Research at DNV; Senior Advisor Barcelona Supercomputer Center (BSC); Climate Mission Board - Horizon Europe

Asuncion Lera St.Clair is currently working on the governance, societal and organizational impacts of digital transformation on AI governance. She brings a wealth of experience and prior understanding towards this effort. For many years she worked as a Professor and research in ethics, human dimensions of climate change, sustainable development, poverty and transformation change. For many years she was also the Research Director of CICERO - Center for International Climate and Environmental Research Oslo. She holds a visiting position at the Barcelona Supercomputing center focused on enhancing salience and usability of climate information. She is also a member of the European Commission Mission Board for ‘Climate Change & Societal Transformations’. With her competencies and skills she is addressing societal and ethical issues emerging from AI applications, including their potential for a sustainable future.

16. Aurora Voje, PhD

Senior Data Scientist hos PwC Norway

Aurora Voje wrote her PhD thesis on condensed matter theory, studying the quantum mechanichal aspects of graphene membranes to see whether these could be used in quantum computers. After gaining her PhD in Physics at the Chalmers University of Technology she began working as an advisor in Jernbaneverket focussed on software development as well as data analysis. She moved from this to working as a data scientist in NextBridge Group AS and later as a Senior Data Scientist at PwC Norway. Aurora also contributes to R-Ladies Oslo community and is an avid believer in paying it forward. As part of the team in PwC implementing artificial intelligence within business contexts she is a key player in the application of AI in Norway.

17. Barbara Wasson

Full Professor at University of Bergen

Barbara Wasson is focused on artificial intelligence in education. Wasson is the Director of the Centre for The Science of Learning and Technology (SLATE), University of Bergen, Norway is a full Professor in the Department of Information Science & Media Studies. She was one of the founders of Kaleidoscope, a European Network of Excellence on Technology Enhanced Learning, sat on the executive committee, and was leader of its CSCL SIG with over 400 members. Wasson is often used as and Expert evaluator by the European Commission. She is currently associate editor of Designs for Learning and on the editorial board of the Italian Journal of Educational Technology (iJET). Wasson has been involved in research on technology enhanced learning since her Masters research starting in 1983.

18. Benedikte Wallace

Doctoral Research Fellow - RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion, University of Oslo

Can an artificial intelligence learn to dance? To some extent the answer is yes and Benedikte Wallace, a PhD researcher with a background in music production and computer science, is exploring how. Her academic interests lie in the cross-section between art and science. Her current research is centered around sound-motion mappings with 3D motion capture, generative machine learning and the use of AI as a tool for pursuing and understanding creativity. Wallace is actively thinking of how we can combine the fields of artificial intelligence and art. These days focused on sound and movement.

19. Birte Hansen

Innovation and Industry Coordinator at the Norwegian Artificial Intelligence Research Consortium (NORA)

Birte Hansen brings a wealth of experience and a demonstrated history of working with the research industry, in project management and community management. She holds a PhD from Roskilde University and wrote her thesis on innovation and digital entrepreneurship in transition: exploring women’s prospective contribution to China’s growing entrepreneurial economy and innovative development.

20. Cecilia Futsæther

Professor at the Norwegian University of Life Sciences in the Faculty of Science and Technology

Cecilia Marie Futsæther's research focuses on using machine learning, deep learning and multivariate statistical techniques primarily in medical diagnostics. She develops and tests methods for classifying images and image pixels/voxels into categories based on specific properties. Applications related to medical diagnostics include developing treatment outcome prediction models for cancer patients using pre-treatment medical images. Such models can help doctors to identify patients who will respond poorly to treatment at a very early stage, and hence tailor treatment for a patient´s needs.

21. Camilla Sterud

Researcher in Artificial Intelligence at SINTEF

Camilla Sterud is a researcher in SINTEF focused on control theory and machine learning. She works in SINTEFs digital group for analytics and artificial intelligence. She has been applying AI in industry the last few years with a range of partners. Amongst them are Borregaard, Yara, Hydro and Elkem. Additionally she works with an AI-based logistics project together with Currence Robotics.

22. Carolin Prabhu

Data Scientist, Office of the Auditor General of Norway

Carolin Prabhu is a data scientist with extremely rich experience in the field of Machine Learning, programming, software development, and modelling. For many years she worked for prestigious universities and research institutions. Between 2007 and 2011, as part of the Bonn University, she was involved with the ATLAS experiment at CERN. Later she worked for other research institutes in developing technologies, modelling, analysis and optimization of neutron systems. Since 2018, Carolin has worked as a data scientist for the Office of the Auditor General of Norway, applying some of the most advanced statistical and machine learning models. Besides her rich work experience, Carolin has published many valuable scientific articles in some of the most cited journals.

23. Cathrine Bui

Consultant,  Bui Consulting

Catherine Bui is an entrepreneur and advocate focusing on digital gender equality and ethical AI. She is one of those women who has made a big difference in the AI sector in Norway. Her focus on digital gender equality and risk mitigation in the AI sector has led to some influential contributions in Norway's business environment. As part of her consultancy work, she offers advisory services ensuring ethical AI systems and gender equality in some of the leading financial institutions. At the Oslo Metropolitan University, she was the head of the Research Coalition for Digital Gender Equality (EQUALS), a collaboration of over 40 different universities and research institutions. In the past, Catherine co-founded Mind The Gap, a start-up aiming at fighting the gender pay gap. She also founded Blockwave Norway, a student-organizations for blockchain education.

24. Cathrine Pihl Lyngstad

Head of Section for Data (Including AI) in the Norwegian Labour and Welfare Administration (NAV)

Cathrine Pihl Lyngstad is the Chairperson of the Norwegian Artificial Intelligence Research Consortium national research school. Cathrine is also heading the data section in NAV, where she works to deliver better services and more efficient use of taxpayer money through the use of data and machine learning. NAV, or the Norwegian Labour and Welfare Administration, employs around 19,000 people to ensure that more people are active and in work. When one comes to understand that NAV administers a third of the national budget one can begin to understand the importance of management of technology in this context. Lyngstad has extensive experience within digitalisation and is very concerned with responsible use of artificial intelligence. Especially during the lockdown in Norway to prevent COVID-19 Norwegians may have noticed to a smaller or larger extent how seamlessly the Norwegian welfare system works online. It is hard to imagine a more important contribution within the field of artificial intelligence at this time, for the benefit of the entire working population of Norway and those that urgently need welfare services

25. Christine Hafskjold

Senior Policy Adviser,  Norwegian Ministry of Local Government and Modernisation

Christine Hafskjold is a Senior Information Communication Technology (ICT) Policy Advisor at the Norwegian Ministry of Local Government and Modernisation. From the policy perspective, Christine is one of the most influential people in Norway. One of Catherine's most recent project was the Norwegian AI strategy, a governmental document that sets out the path of AI development based on transparent and ethical principles. She has outstanding work experience within ICT research policy, cloud computing and cyber security. She has ten years of experience working within the IT sector as a consultant before moving into the IT policy development sector. As part of the independent body Norwegian Board of Technology whose role is to advise the Norwegian Parliament and Government on new technology, Catherine was responsible for the ICT policy section.

26. Diana Saplacan

Senior Researcher/Forsker II at University of Oslo (UiO), Robotics and Intelligent Systems (ROBIN) Research Group in the Vulnerability in the Robot Society (VIROS) project

Diana Saplacan is a senior researcher/forsker II at the University of Oslo, at the Department of Informatics, Robotics and Intelligent Systems (ROBIN) research group, currently working in Vulnerability in Robot Society (VIROS) project. Her research in the VIROS project covers the ethical aspects of AI robots and systems. She focuses on the user (e.g., care receiver and caregivers, including family members and medical staff using the AI robot system) and how the user experiences privacy and safety in their interaction with AI robots and systems. She is concerned with products and services being designed with inclusion and accessibility in mind, such that vulnerable users can also use them, but not at the cost of their privacy or safety.

She received her Ph.D. degree (2020) from the University of Oslo, Norway, and her M.Sc. degree (2013) from Kristianstad University, Sweden, where she also worked as a Computer Science lecturer for three years. Her Ph.D. degree is interdisciplinary within Design of Information Systems, at the cross of Human-Computer Interaction (HCI) and Human-Robot Interaction (HRI), and Computer-Supported Cooperative Work (CSCW) fields, with Universal Design (UD) knitting these fields. In her Ph.D., she worked with two different cases, one focused on everyday interaction with robots in the home as part of the Multimodal Elderly Care Systems (MECS) research project, and the other focused on interaction with digital learning environments in higher education in UDFeed project. She coined the notion of situated abilities discussing from a phenomenological perspective how the abilities of humans in their interaction with digital systems are constrained or enabled by the design of the system itself.

Her current interests include Human-Robot Interaction and Human-Robot cooperation, ethics, and AI regarded through the lens of Universal Design principles, inclusion, and accessibility. She is not afraid of asking difficult questions in order to protect the human rights of vulnerable users when it comes to AI and robots.

27. Elena Parmiggiani

Associate Professor in CSCW and Digital Collaboration and Deputy Head of Department for Sustainability at the Department of Computer Science, NTNU

Elena Parmiggiani holds a PhD in Information Technology from the Norwegian University of Science and Technology (NTNU) and an MSc in Computer Engineering from the University of Modena and Reggio Emilia. She coordinates the Digital Enterprise Research Area at the Faculty of Information Technology and Electrical Engineering at NTNU. Her main research interest is the study of data science and AI in practice, especially related to changes in the work processes associated with the ongoing digital transformation. She is in the management team of the AI4Users project, funded by the Norwegian Research Council and led by the University of Agder. AI4Users addresses the “black box” problem contributing to the responsible use of AI for the digitalisation of public services. AI4Users targets specifically non-experts, thereby extending the reach of research beyond data scientists. The project takes a human-centred perspective attempting to address the needs of different groups including citizens, case handlers at the operational level, middle managers and policy makers.

28. Elin Hauge

AI and Business Strategist | International Startup Mentor | Professional Speaker

Elin Hauge truly believe in the power of data-driven technologies. Technologies like artificial intelligence, internet of things, virtual reality, and blockchain will play important roles in the sustainable future of societies and businesses. Elin is a professional speaker while also being an AI and Business Strategist. She is also active in investment communities such as Antler and Consilience Ventures. Alongside her wide engagement with clients and startups she is also involved as a board member of Waken AS, an interdisciplinary consulting company. She believes that new technologies can help in reducing the need to travel, making buildings more sustainable, securing food production, and developing smarter and healthier cities for people to live in.

29. Elisabeth Austad Asser

PhD Candidate, Artificial Intelligence (AI) and Ethics at the University of Agder, Head of Digital Channels and Marketing at Sparebanken Sør

Elisabeth was born in Tromsø (1974) and raised in Arendal, Norway. She has spent her professional life within the insurance-, banking-, and travel industry where she for the most part has been working with digitalization, digital sales, marketing and communication. Today she is a PhD-candidate in philosophy at the University of Agder and with Sparebanken Sør. Her area of research includes ethical aspects in the use of AI in the banking industry.

30. Elise Lunde Gjelsvik

PhD Candidate at Faculty of Science and Technology within the Norwegian University of Life Sciences

Elise Lunde Gjelsvik worked as a scientist in Bayer before starting her PhD at NMBU. She recently took part in publishing several papers in the field of machine learning. Both towards a machine learning interpretation of oil systems and machine learning for better understanding flow assurance. Previously in her master's project she worked on prediction tasks related to toxicity in shells.

31. Elizabeth Traiger

Senior Researcher DNV - Digital Assurance

Elizabeth Traiger’s current research concerns advanced statistics, machine learning and predictive analytics on large data sets with a time series nature and deep learning issues in computer vision. She earned a doctorate in statistics at the University of Oxford and has been working in the wind industry for 10 years. Her work is important in making sure that the reliability of renewables in the energy mix, vital contributions to ensure we work towards reaching global emissions targets. Her varied experience spans wind project development, operational assessments, due diligence, and grid integration projects. She is a member of the DNV Council on behalf of employees of DNV worldwide.

32. Freyja Jørgensen

Innovation Manager at Simula/Gründergarasjen, and Leader of the NORA.startup Steering Group

Freyja Jørgensen has a lot of energy and is the kind of person that simply makes things happen. One of the most active groups within the Norwegian Artificial Intelligence Research Consortium (NORA) is NORA.startup. The NORA.startup initiative will be a gateway to greater cooperation between academia, incubators and startup companies in the field of artificial intelligence, machine learning and robotics. Jørgensen has an educational background combining molecular biology and psychology. She has extensive experience from working xxxin the intersection between academia and startups, and has been involved in several educational and innovation projects. Formerly Jørgensen has worked to promote science and technology in education but currently she dedicates her time to supporting early stage technology companies in the Gründergarasjen incubator. She is also working to further build the NORA.startup network and support the AI startups there. Jørgensen is responsible for a lot of internal organization and event management that will enrich the AI ecosystem of Norway and beyond.

33. Greta Elvestuen, PhD

Senior Analyst at DNB

Greta Elvestuen holds a PhD from BI Norwegian Business School. She has professional experience from machine learning projects; statistical analysis; managing media campaign evaluation projects; teaching; co-supervising Master Executive students; data collections through online and pen-and-paper questionnaires; reviewing academic articles and editing an academic journal. She now works as a senior analyst in DNB banking services. She worked as a senior lecturer at University of Oslo and BI at both Bachelor and Master of Science level lecturing on leadership, diversity and organization. She previously worked as a Data Scientist consultant in Inmeta focusing on statistical modelling, machine learning and artificial intelligence supporting customers in a variety of business challenges. Greta’s research was conducted as quantitative studies and focused on diversity management and inclusive leadership. Her work is published in a number of international journals.

34.  Ghazaal Sheikhi

Postdoc, MediaFutures

Ghazaal Sheikhi is a Postdoctoral Fellow in the Department of Information Science and Media Studies. Her research interests revolve around machine learning, natural language processing and content analysis. Ghazaal investigates (semi) automated methods and tools for fact checking and content verification to foster trustworthy news. This research focuses on computational text and image/video analysis from social media and unverified resources to identify deceptions and manipulations. Before, Ghazaal was an Assistant Professor in the Faculty of Engineering, Final International University, North Cyprus.

She holds a PhD in Computer Engineering (Machine Learning) from Eastern Mediterranean University, North Cyprus and a master’s degree in Biomedical Engineering from Amirkabir University of Technology, Tehran, Iran. Ghazaal has published 7 papers in the area of machine learning and pattern recognition in competitive conferences and journals.

You can find a list of Ghazaa’s publications on Google Scholar: Scholar: https://scholar.google.com/citations?user=G2hq2B4AAAAJ&hl=en 

35. Gro Merethe Johnsrud

Co-founder and CEO Propell.ai

Gro Merethe is the CEO and Co-founder of Propell.AI. She drives the strategic partnership with VIC.AI, the most successful norwegian AI startup in automation accounting. Vic.AI is founded by Norwegians and with strong backing from premium Silicon Valley VCs. We have a strong customer base across the US and Nordics. We will automate up to 95% of incoming invoices for accounting agencies and enterprise customers in private, state and public sector.
With more than 20 years of experience from the tech industry, Gro Merethe combines a long career in the industry with a genuine passion for technology and the people involved and her customers!

She has had leading roles in large companies such as Storebrand, If, Capgemini, Itera, Bluegarden and Visma. At Visma, Gro Merethe was sales director and responsible for all of the companies within the Enterprise division for state and private sector. She has worked with some of the largest healthcare companies, banking, finance and insurance, universities, municipalities, and other businesses within the private sector.

As the co-founder and CEO of Propell.ai, she is eager to make Propell’s one-of-a-kind, innovative technology known across the Nordics, and together with clients, make changes for today, with solutions for the future.

36. Gunnhild Svandal Presthus

Data Scientist,  Statnett SF

Gunnhild Svandal Presthus has a Master's degree in Applied Mathematics from a joint degree programme from NTNU and DTU - Technical University of Denmark and currently works as a data scientist at Statnett. She works with solutions to automatize and optimize the operation of the power grid using advanced machine learning models for balancing consumption and production. Gunnhild also has long experience working in the consulting sector.

37. Guri Verne

Postdoctoral Researcher and Senior Lecturer at the University of Oslo

Guri Verne has been writing about the intersection of artificial intelligence and participatory design. He has an extensive background in research within informatics from Norwegian Computing Center, Mathematical Institute at the University of Oslo, Statskonsult and various government units focused on digitalisation. She has also been a member of the national ethics committee for science and technology.

38. Hanne Torill Mevik

Physicist and Data Scientist at Fürst

Hanne Torill Mevik started out with a background in Quantum mechanics graduating with a master’s in Theoretical physics from the University of Oslo. She later moved into image and data processing from a variety of physical sensors where she discovered a professional calling for machine learning and modelling neural networks. She has practical experience from Statkraft, the Norwegian Defence Research Establishment, Bakken & Bæck, NoA Ignite (formerly Making Waves). She now works as a data scientist for Fürst. In addition to her work she has been publicly engaged in questions of machine bias perpetuating societal bias and opening up the black box.

39. Heather Broomfield

Ph.d Fellow at University of Oslo & Senior Advisor at the Norwegian Digitalisation Agency (DigDir)

Heather Broomfield is employed as a Senior Adviser in the Norwegian Agency for Public Management and eGovernment (Difi). She is currently working on a ph.d. project entitled "Government by Algorithm - Protecting Democratic Values in the Deployment of Artificial Intelligence by the Public Sector" (2019-2023) The project is funded 50% by the Norwegian Research Council under the public sector Ph.D programme and 50% from Difi. The Department of Public and International Law is the academic partner in the project. Professor Malcolm Langford is her main supervisor. Heather is also a Member of Council of Europes committee on Artificial Intelligence (CAHAI).

40. Heidi Elisabeth Luell Dahl

PhD, Senior Data Scientist at Posten, Chair Tekna Big Data

Heidi Dahl is a visible personality in Oslo in part due to her engagement with Tekna – The Norwegian Society of Graduate Technical and Scientific Professionals where she is the leader of Tekna Big Data. As well as her continued engagement with Women in Data Science Oslo. She holds a PhD from the University of Oslo in Geometry for Computer Aided Design. She was leading SINTEF Digital's Big Data Analytics and Artificial Intelligence activities in four projects in Industry 4.0. Now she works as Senior Data Scientist in Posten Norge AS. In this sense she is both practically involved with some of the large projects within artificial intelligence in Norway and contributing to bring more people from different backgrounds into the industry. As a champion of sharing knowledge and a champion of women in data science it is not an exaggeration to say that Dahl may very well be one of the most important people in the field of artificial intelligence in Norway.

41. Helga Brøgger

Senior advisor at the Norwegian Board of Health Supervision and President of the Norwegian Society of Radiology

If we are to use artificial intelligence for one of the best purposes possible; to save life and prevent unnecessary death, then we need people like Helga Brøgger. She is an experienced consultant in musculoskeletal radiology, with a demonstrated history of practice in hospitals. What makes her unique is her excellent skills in bridging competencies between people and her never ending scientific curiosity that she shares with her networks. She worked at the Oslo University Hospital as a Consultant in Forensic Radiology at the Department of Forensic Medicine. Her continued engagement with digital health technology and to make artificial intelligence understandable in healthcare contexts makes her very valuable for Norway. When discussing artificial intelligence she brings in the understanding of healthcare professionals, the medical industry and policymakers. With her new role as the Senior Advisor at the Norwegian Board of Health Supervision she will continue to ensure responsibility in Norwegian healthcare.

42. Helga Holmestad

Researcher at SINTEF Digital

Helga Holmestad is a researcher in the group for AI and Analytics at SINTEF Digital. She holds a PhD in Physics from the University of Oslo. Her background before SINTEF was working with Computas AS as a data scientist. She brings experience from both academia and private industry, and tries to bring the best from both worlds into the new projects she tackles.

43. Ieva Martinkenaite

VP Telenor Research, Head of AI and Analytics Board Member Telenor Denmark A/S

Ieva is among the key figures at Telenor Group contributing to building AI research and innovation ecosystem in Norway. She leads a team of data scientists and Machine Learning engineers in Telenor and several high profile regional and national appointments in AI.

As Vice President of Telenor Research and Head of Analytics and AI team, Ieva is responsible for advancing research and driving research-based innovation in Telenor within data analytics, AI and IoT. Her work also involves advisory to Telenor executives and business leaders on digital technologies and innovation strategy. Concurrently, Ieva leads a joint AI task force of Europe’s largest telecommunication operator association ETNO and GSMA Europe.

She has more than 15 years of experience in product development, business research and advisory, and holds several Board membership positions. During 2018-2020 Ieva represented Telenor in the European Commission’s High-Level Expert Group on Artificial Intelligence that provided ethics guidelines for Trustworthy AI and recommendations on the implementation of European Strategy on AI.

Ieva holds a PhD in Strategic Management from BI Norwegian Business School.

44. Inga Strümke

Researcher at NTNU

If you are interested in artificial intelligence in Norway, it is highly likely that you have seen Inga in a public debate about AI or read one of her many opinion articles in different newspapers. Inga has a PhD in particle physics, previously worked on algorithm auditing at PwC, and is currently a researcher on explainable AI at NTNU. She received the University of Bergen’s outreach price in 2019, and was awarded “One of Norways 50 leading women in tech 2020″. She is an international keynote and TedX speaker, addressing understanding, AI ethics and the potential impact of data analysis on society. On the one year anniversary of the Norwegian national strategy, Strümke was invited by the AI networks of Norway to discuss the status of AI in Norway today, where she highlighted the importance of fundamental research and diversity in AI.

45. Ingeborg Frøysnes

Special Advisor at The Finance Sector Union of Norway (Finansforbundet)

Ingeborg Frøysnes has deep technology expertise and a great understanding of technological development and impact on society. Her experience from an entrepreneurial company has given her experience and insight into start-up and growth companies. Frøysnes comes from the position of COO at Anzyz Technologies, a company that uses artificial intelligence in text analysis - including in the public sector. She then worked with ICT Norway before more recently starting as a special advisor at Finansforbundet.

46. Ingrid Schjølberg

Dean at the Faculty of Information Technology and Electrical Engineering, NTNU

It seems many have only more recently begun taking an interest in the field of artificial intelligence and robotics. For Ingrid Scjølberg this is not so, she wrote her doctoral thesis back in 1996 on modeling and control of underwater robotic systems. Schjølberg has an extensive background as a researcher in SINTEF, one of Europe's largest independent research organisations, headquartered in Trondheim. One of her initiatives was ROBOTNOR - Centre for Advanced Robotics which she led during its first years. Her work with NTNU started back in 2013 and she has since then held several positions. She became the Project Director for the Centre for Autonomous Marine Operations and Systems. The research results from this centre are being used to develop intelligent ships and ocean structures, autonomous unmanned vehicles (under water, on the sea surface, in air and space) and robots for high-precision and safety-critical operations in harsh environments. Norway has traditionally had a strength in the marine industries and Schjølberg has made large contributions towards ensuring this continued strength is evolving.

47. Ingunn Burud

Professor,  NMBU

Ingunn Burud is a Professor at the Faculty of Sciences and Technology (NMBU). Her areas of work include image analysis, hyperspectral imaging, solar cell technology, urban microclimate, and wooden surface. Over the years, Ingunn has worked on many impressive projects within the data analytics and machine learning sphere. Ingunn managed the SHAPE project, dedicated to developing a fully autonomous harvester for strawberry production in polytunnels and open fields. Later on, Ingunn also worked on another project, which included the usage of drones and robots to accelerate genetic gains in Norwegian wheat breeding. She has published in some of the most prestigious Journals.

48. Ira Hebold Haraldsen

Project Coordinator for AI-Mind and Head of Center for Cognitive Health in Brain Disease,  Oslo University Hospital 

Ira Haraldsen (MD, Psychiatrist; PhD) coordinates one of the largest projects within artificial intelligence in Norway. The project she coordinates is AI-Mind, a European project receiving funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 964220. It is a five-year Research and Innovation Action (RIA) that officially starts this March 2021. It involves fifteen project partners from eight European countries and has a budget around 14 million euro. Haraldsen has a wide research experience from Max Planck Institute for Biology of Ageing, Stanford University, University of Oslo and Oslo University Hospital. The AI-mind project intends to contribute to a better everyday life for people living with dementia. More than 100,000 people have dementia in Norway and around 50 million worldwide, and this is set to double during the next 20 years. If you know someone with dementia or if you have heard about this condition you may understand to some extent how important this could be for those so unfortunate to get dementia. It will do so through two digital tools Connector and AI-Mind Predictor that will be combined on one diagnostics platform.

49. Ishita Barua

Research Fellow, Oslo University Hospital | Fulbright Alumna, BIDMC/Harvard Medical School | AI in Endoscopy

A trailblazer in the intersecting fields of health and AI, Ishita Barua is making great strides in the use of artificial intelligence in colorectal cancer diagnosis and colonoscopy. Ishita Barua is a lecturer and co-initiator behind the establishment of the elective medical subject “AI, Innovation, Big Data and Clinical Decision Support” aimed to inspire and teach medical students at the University of Oslo, the power and potential of digital technology and innovation in the complex comprehension of medical data, through the use of various tools, models and methods.

50. Jill Walker Rettberg

Professor of Digital Culture at the University of Bergen

Jill Walker Rettberg is Professor of Digital Culture at the University of Bergen, and leads the ERC project Machine Vision in Everyday Life: Playful Interactions with Visual Technologies in Digital Art, Games, Narratives and Social Media. She also leads the Digital Humanities Network at the University of Bergen, and has a keen interest in digital methods in the humanities, especially visualisations and network analysis. Rettberg also leads the Digital Culture Research Group, with around a dozen PhDs and postdocs in addition to several tenured members. She is a member of the Network for Games Research and Bergen Electronic Literature Research Group.

51. Kaja Fjørtoft Ystgaard

Ph.D. Research Fellow and Lecturer, Norwegian University of Science and Technology (NTNU)

Kaja Fjørtoft Ystgaard is a Ph.D. Research Fellow and Lecturer at the Norwegian University of Science and Technology (NTNU), and Visiting Researcher at King's College London. Kaja is researching "humane and ethical ways of designing next-generation internet technology, affiliated with the Department of Information Security and Communication Technology", NTNU. In the past, Kaja worked for many well known international technology and consulting firms, focusing on product and digital marketing. Between 2016 and 2019, Kaja was the Head of Analytics & CLM at Telenor, where she led a team of eight scientists specialized in multi-disciplinary insight.

52. Kari Laumann

Head of Section for Research, Analysis and Policy/Project Manager Regulatory Sandbox at Norwegian Data Protection Authority (Datatilsynet)

Laumann has an extensive background working with privacy and technology. She worked for several years as a Senior Advisor at the Norwegian Board of Technology, then as a Senior Advisor at the Norwegian Data Protection Authority before being hired as the Vice President of Telenor in Bangkok. She then returned to the Norwegian Data Protection Authority as the Project Manager of their regulatory sandbox for responsible AI. In the process of setting up the sandbox she has been in contact with a variety of companies and organisations within the field of AI. Now that the sandbox is being set up she will be a key actor in collaboratively shaping the Norwegian approach to regulating AI.

53. Karolina Storesund

Administrative Coordinator SFI Research centre NorwAI

Karolina Storesund has been working as a research scientist and management of research for more than a decade. This makes her well suited in the role as the Administrative Coordinator for the Centre for Research-Based Innovation called Norwegian Research Center for AI Innovation (NorwAI). She previously worked as a Centre Director with RISE Fire Research AS in Trondheim, and before that for SINTEF. NorwAI is one of the largest projects in Norway within the field of artificial intelligence and requires careful coordination to enable businesses to successfully deploy well researched projects in the field of AI. This is the responsibility that rests on Karolina's shoulders.

54. Katarzyna Michałowska

AI Research Scientist and PhD fellow,  SINTEF

Katarzyna Michałowska is an AI researcher (Master of Science) at SINTEF and a PhD candidate at University of Oslo. She is working with physics-informed machine learning and hybrid models. She works within SINTEF Digital in their section for Analytics and Artificial Intelligence. Her expertise lies within discriminatory bias. Biased algorithms can discriminate against certain groups of people based, among others, on their gender, race, or sexuality.

55. Kerstin Bach

Program Manager at NorwAI & Associate Professor in AI at NTNU

Kerstin Bach’s core competence field is Machine Learning and Artificial Intelligence. She was awarded her PhD in Computer Science from the University of Hildesheim, Germany. She is currently working on intelligent decision support systems. Bach is currently deputy head of the Data and Artificial Intelligence group and associated with the Norwegian Open AI Lab. More recently she also became a program manager in Norwegian Research Center for AI Innovation (NorwAI). In addition to this she is the chair of the German Society for Computer Science's Special Interest Group on Knowledge Management and a board member of the Norwegian AI society. Part of her current research lies within e-Health applications with the selfBACK EU project developing assistance for low back pain patients.

56. Kjersti Aas

Assistant Research Director at Norwegian Computing Center

Kjersti Aas is assistant research director at the SAMBA department (Statistics Analysis Pattern Recognition and Image Analysis) at the Norwegian Computing Center (NR). Her department has achieved gender balance within a traditionally male-dominated subject area. The Norwegian Computing Center is known for the high quality of its research and an SFI (center for research-driven innovation) in statistics is based on NR.

57. Kjersti Engan

Professor at the Department of Electrical Engineering and Computer Science Department at the University of Stavanger (UiS), Leader of BMDLab – Biomedical data analysis laboratory

At times, with all the buzz around artificial intelligence, one can question oneself what AI could be good for – which applications of AI could be important for humanity? We must face challenging truths in the world, such as the inequality on this planet that begins from birth. Through NewbornTime Kjersti Engan is working to analyse video footage of births and resuscitation of newborns. Through the use of artificial intelligence she and her colleagues are developing a system that shows the timeline from birth to resuscitation. The goal is that healthcare workers around the world can work to improve routines, so that we can ensure that more children survive. Engan is a Norwegian researcher in signal and image processing who works as a professor of electrical engineering and computer science at the University of Stavanger. She completed her doctorate in 2000 and was promoted to full professor in 2008. Her research interests are in signal and image processing and machine learning with emphasis on medical applications and in dictionary learning for sparse signal and image representation. She is the leader of BMDLab (Biomedical data analysis laboratory), and in addition to AI for newborn survival, she is currently working on AI in computational pathology and AI in perfusion CT for stroke patients.

58. Kosovare Olluri

Senior Data Scientist in AI and Emerging Tech at Amesto

Kosovare is a data scientist, communicator and astrophysicist. Her research background deals with new mathematical models for mysteries on the solar surface. Her theoretical models have since been confirmed by observations from NASA's space probe. This illustrates Kosovo's curiosity, cutting-edge expertise in mathematics and creative analytical approach.

59. Kristin Hatlen Huseby

Data Scientist / Senior Consultant, Machine Learning at Inmeta and contributing writer at Towards Data Science

Kristin Hatlen Huseby is a Data scientist with Master in Physics and diverse experience from industrial production, R&D and start-up environments. Her main focus is machine learning and deep learning. She was previously working as a senior engineer at Aker with the development of algorithms, content and layout for condition and performance monitoring of subsea rotating equipment for Field Management System (FMS). This included frequency analysis, state machine, monitoring of shaft movement, algorithm for speed sensing of rotating shaft, detection and clustering.

60. Kristin Tøndel

Professor in Data Science at the Faculty of Science and Technology, NMBU

Kristin Tøndel is a Professor in Data Sciences (Big Data) at NMBU - Norwegian University of Life Sciences and Professor II in Big Data Cybernetics at NTNU. Tøndel's research is focused on developing and applying new methods for multivariate data analysis, especially robust methods suited for large and heterogeneous datasets/Big Data. She investigates combinations of widely different data analysis methods, with the purpose of increasing our insight into and interpretation of patterns in large, heterogeneous datasets; improving our handling of missing values; and increasing the achieved prediction/classification accuracy. Application areas of her work include biology, medicine, chemistry and official statistics.

61. Kristin Ytterstad Pettersen

Professor, Department of Engineering Cybernetics at NTNU

Kristin Ytterstand Pettersen seems a legend in the making, especially with the recent breakthrough in snake robots, and subsequently receiving the Bode-prize. The Bode-prize is by many considered the closest that you can get to the Nobel-prize in the field of cybernetics. Pettersen has a PhD and an MSc in Engineering Cybernetics from NTNU. She is also a Key Scientist at the Center of Excellence: Autonomous marine operations and systems (NTNU AMOS) and an Adjunct Professor at the Norwegian Defence Research Establishment (FFI). In addition to her research she contributes through international positions such as Board member of the IEEE Control Systems Society, Council member of the International Federation of Automatic Control and the European Control Association. If you have not seen videos from her company Eelume AS yet you should, as it looks almost like science fiction. As a board member of Eelume AS she keeps thinking of new applications of her exceptional research.

62. Kristine Heiney

PhD fellow at the Department of Computer Science at Oslo Metropolitan University

Kristine Heiney is a PhD fellow in the Department of Computer Science at Oslo Metropolitan University and is working toward a doctoral degree in Computer Science from NTNU. Her work as a member of the Living Technology Lab, led by Dr. Stefano Nichele, involves analyzing the electrical signaling behavior of networks of neurons in vitro to gain insight into how they form connections and process information. Her PhD research is part of the NFR-funded SOCRATES project, a long-term horizon project seeking to harness the power of self-organizing substrates to lay the foundations for a new computing paradigm toward more efficient data analysis.

Kristine earned her BSc in Applied and Engineering Physics from Cornell University in 2010 and her MSc in Biomedical Engineering from the University of Porto in 2018. Her MSc thesis was conducted as part of the Neuroengineering and Computational Neuroscience (NCN) research group, led by Dr. Paulo Aguiar, at the Institute for Research & Innovation in Health (i3S). From 2011 to 2013, she was a teaching assistant for the Pre-medical and Foundation Programs at Weill Cornell Medical College in Qatar, and since 2014 she has worked as an English language editor for scientific and technical publications.

63. Lene Diesen

CEO at Semine AS

Lene Diesen works with one of the most rapidly growing AI startups in Norway, namely Semine AS, a Norwegian AI platform for the automation of accounting. Semine hired Lene Diesen in 2019 as the new CEO and she comes from the position of COO and Deputy CEO of Microsoft Norway. Diesen has previously held several leadership roles in Tieto / Software Innovation. The AI ​​robot SEMINE automates invoices and invoice management for companies, accounting agencies and public companies. Diesen has over 10 years of experience in the IT industry, with both national and international leadership responsibilities. As a CEO leading the way in one of the most promising AI startups in Norway one has to take notice of Diesen in the Norwegian AI ecosystem.

64. Lene Drøsdal, PhD

Senior Data Scientist, DnB

Lene Drøsdal holds a PhD as a Doctoral student at CERN. She wrote her PhD on a software framework developed to monitor and correct LHC injection beam quality. She later worked as Data Scientist in NextBridge Analytics AS and later as a Senior Data Scientist at DNB. She works to prevent financial crime through the use of machine learning and technology. She is also one of the ladies behind R-ladies who work for more diversity in the R-community.

Lene is a Senior Data Scientist at DNB and a Specialist in Big Data and IoT Analytics. Lene holds a PhD from CERN on a software framework developed to monitor and correct LHC injection beam quality.

65. Leonora Onarheim Bergsjø

Associate Professor at Østfold University College, Leader for Norwegian Council for Digital Ethics

Ethics in artificial intelligence is about more than practice, it is about building a community that continuously engages with questions across disciplines and workplaces. It has become very clear in the last few years that Leonora Onarheim Bergsjø has taken on this task in Norway. A few years back Bergsjø set up the Norwegian Council for Digital Ethics (NORDE) to bring together people who care about various issues within digital ethics. Bergsjø holds a PhD in Ethics and Philosophy of Religion from the University of Oslo (UiO) and recently released a book in Norwegian on digital ethics and digital judgement in kindergartens and schools. She is not only active in teaching, rather she brings her engagement within digital ethics to a wide range of audiences through her presentations for a variety of organisations. Bergsjø does not shy away from the difficult questions, instead she confronts them and brings together people to do so from different angles. When we shared this list Leonora was recommended several times and it is clear that she will be important in discussions of ethical AI in years to come.

66. Lilja Øvrelid

Professor and leader of the Research Group for Language Technology, Department of Informatics, University of Oslo

One of the most active areas within the field of artificial intelligence relates to applications of language technology or so-called Natural Language Processing (NLP). There are also a number of challenges that follow with the rapid increase of both written and spoken language modelling. If the Norwegian society is to have good applications of these technologies there is a clear need to have excellent researchers in Norway working to understand these models. Lilja Øverlid in the Language Technology Group (LTG) at the University of Oslo is doing a lot of work with her team to address these challenges. Language technology comprises both theoretical and applied Informatics seeking to enable us to make sense of human language. If one considers the Alexa or Google Nest in your home that increasingly have to address questions in Norwegian, or the great need to navigate information in Norwegian we might begin to understand partly why the work Øvrelid does as a Professor with her research team is of such significant importance for the Norwegian society.

67. Lillian Smestad

Senior Data Scientist at Inmeta

Lillian Smestad has a career many physicists would dream of, she has worked at CERN with searches for dark matter and studies of antimatter. She did her PhD in particle physics at the University of Oslo, and has a long experience of using complex statistical treatments to search for small signals in large datasets. Searching for the elusive Higgs boson in her doctoral research, She took part in one of the greatest discoveries in particle physics for decades, and the Nobel Prize in Physics 2013 was awarded based on the experimental discovery of the Higgs boson at CERN. She worked with the ATLAS collaboration at CERN and gained authorship through a designed task, developing a suite of monitoring tools for the electron and photon trigger of the ATLAS detector. Since 2018 she has been working with the consulting firm Inmeta with customers such as DNV, Tine and the Norwegian Environment Agency.

68. Lisa Reutter

PhD Candidate,  NTNU

 

Lisa Reutter is doing her PhD in Digital Infrastructures and Transformation of Citizen-Government Relations at NTNU, Trondheim. Her thesis is focused on understanding the practice of doing machine learning within the Norwegian public sector as part of the project Digital Infrastructure and Citizen Empowerment (DICE). Her academic work sheds light on the Norwegian Government's efforts, particularly the Labor and Welfare Administration (NAV), to improve public services by using the data from the archives to develop AI-based services.

69. Liyuan Xing

Adjunct Associate Professor at Norwegian University of Science and Technology (NTNU), Machine Learning Engineer at TrønderEnergi

Liyuan Xing is currently a full-stack machine learning (ML) engineer in TrønderEnergi Kraft AS. She is also holding an Adjunct Associate Professor position at the Department of Computer Science (IDI), in connection with Norwegian Open AI lab (NAIL), responsible for some research in NorwAI and teaching activities in artificial intelligence and machine learning. The recent projects Xing has worked on involves wing production forecasting and better bidding in hydro power. Liyuan got a master degree in computer science and technology from Graduate University of Chinese Academy of Sciences (GUCAS), Beijing China in 2006. She was awarded a PhD from NTNU in 2013 and from 2015 to 2019, she worked as a postdoc in Visual Computing Laboratory in IDI, NTNU. Xing navigates well in uncertainty, and contributes to a better understanding of decisions to be made through the use of applied machine learning.

70. Mareile Kaufmann

Associate Professor - Department of Criminology and Sociology of Law

Mareile Kaufmann has her PhD in criminology from the University in Hamburg. Her thesis was about security practice and resilient societies. She has been a Senior Researcher with the Peace Research Institute Oslo (PRIO). She has worked to shape the field ‘digital criminology’, and her current project examines how digital technology and practice affects surveillance. She was invited on a panel as an expert in the Equality and Anti-Discrimination Ombud and Ministry of Justice and Public Security in Norway. She has been a guest lecturer within the political science department at several universities, has been awarded several large grants and is the winner of the Radzinowiczprisen 2019. She is the main author of Predictive Policing and the Politics of Patterns, an author on Resilience, Emergencies and the Internet (Routledge, 2017) as well as author of Ethnic Profiling and Counter-Terrorism (Lit-Verlag, 2010).

71. Maria Amelie

CEO and Co-Founder, Factiverse

To tell the story of Maria Amelie in a paragraph seems almost counterproductive, as her journey is so textured and full. Both filled with the story she has lived and the ones she has gathered to share with others. Her first book came out in 2010 when she was 24 years and led to a massive debate on refugees. She received the Norwegian of the year and contributed to changes in immigration law. She has written five books on immigration, freedom of speech and entrepreneurship. So, where does artificial intelligence fit into this multifaceted story arc? Well, Maria Amelie holds a Master's degree in Science, Technology and Society from NTNU, and in Spring 2020 she helped found Factiverse. This company works to automate detection of fake news and misinformation with cutting-edge AI and NLP. They have raised capital and are testing their technology with leading Norwegian media companies. As such, this is another step on the journey of Amelie to tackle contemporary issues that impact immigrants directly, and a much needed application of AI in an area of society many critically question these days.

72. Marie Roald

PhD Candidate,  SimulaMet

Marie Roald is PhD Student Department of Machine Intelligence with the Simula Metropolitan Center for Digital Engineering. She has been trying to find hidden patterns of fMRI data using machine learning. Her research is about combining mathematics and programming to find underlying patterns in large amounts of data. Marie has many years of experience in communication and programming teaching. Since Simula Learning started, she has developed and held a number of courses and webinars for teachers and other programming enthusiasts. As such she is both active in research and communicating science.

73. Marija Slavkovik

Professor in Artificial Intelligence at the Department of Information Science and Media Studies at the University of Bergen

There is no doubt Marija Slavkovik is an innovator. She has led the first bachelor’s programme focused in its entirety on artificial intelligence. With her computational competencies and passion for ethical behaviour in computational agents she shows both technical excellence alongside great care for contemporary issues in AI. Slavkovik is the vice-chair of the Norwegian AI Association, a charter of eurai; in the board of EURAMAS; and a member of the informal advisory group on Ethics, Legal, Social Issues (ELS) of CLAIRE. If you are looking for international engagement that echoes across Europe on ethical behaviour in AI – you have found Slavkovik. Her voice informs decisions and challenges established truths to assist in fulfilling the European vision of trustworthy and responsible AI. Slavkovik is also currently leading a work package at Mediafutures, the Research Centre for Responsible Media Technology and Innovation.

74. Marit Rødevand

Co-founder and CEO of Strise

Marit Rødevand holds a master’s degree in Engineering Cybernetics from the Norwegian University of Science and Technology (NTNU). She currently runs Strise.ai, a platform set up to make better and faster business to business decisions with artificial intelligence. She also co-founded Rendra AS, focused on software as a service (SaaS) for the construction industry, which was acquired by JDM Technology Group. In addition to this she has experience from NTNU Technology Transfer AS, the technology transfer office at NTNU. Rødevand is a prominent entrepreneur in the Norwegian startup ecosystem and the leader of an exciting company utilising AI for companies in their business processes.

75. Merete Nygaard

CEO & Founder of Lawbotics, Initiator of Oslo Legal Tech

Merete Nygaard started up Lawbotics after a decade of working for established law firms. During this time she had been servicing technology companies through her legal practice. Lawbotics has a cloud service called Lexolve that aims to close the gap between legal knowledge and legal needs. Through her work she aims to reduce the cost of legal help and give small and medium enterprises an affordable way to solve their legal needs. In this sense the broader goal is to ‘democratize law’. She also helped initiate Oslo Legal Tech to create a platform for technologists and lawyers to collaborate, enabling more hands-on experience within this area.

76. Mia Ryan

Manager Analytics & Data Platforms - Women in Data Science Ambassador,  Redpill Linpro

Mia Ryan is Analytics Manager at Repill Linpro and a proud Women in Data Science Ambassador for Norway. In her professional capacities, she has developed Machine Learning solutions for clients. Furthermore, Mia also provided other services such as data-platform development and analytics, cloud solutions, and other open-source solutions. As part of Women in Data Science, Mia organizes events to share knowledge, inspire people regardless of gender, and support women in the field of data science. She has a rich multi-disciplinary educational background in Law, Business Administration, and Big Data Analysis.

77. Milna Mandusic

PhD NMBU - Machine Learning in Civil Engineering - Data analyst smart water

Milna Mandusic is a public PhD at the Faculty of Science and Technology at the NMBU Norwegian University of Life Science focused on machine learning within civil engineering. She worked for a long time in the public sector within the Norwegian Agency for Water and Sewerage Works. She works with a range of software to explore important contemporary issues that are often ignored or forgotten in society pertaining to our shared infrastructure. Especially leakage reduction, pressure management and pressure optimisation are topics she is focusing on in her PhD.

78. Mina Farmanbar

Associate Professor, UiS

Mina Farmanbar is an associate professor in Computer Science with the focus on Machine Learning applications at the University of Stavanger (UiS), Norway. She received the M.Sc. and PhD degrees from the Eastern Mediterranean University, Cyprus, in 2012 and 2016, respectively, on information and network security and biometrics. She has been an active researcher at UiS and Akershus University Hospital since 2017. Currently, her research interests lie in data science, machine learning applications in particular, time series analysis and load forecasting.

79. Miria Grisot

Associate Professor at Department of Informatics at UiO

Grisgot currently holds the position as Associate Professor at the Department of Informatics at the University of Oslo, and has been a part of UiO´s Department of Informatics for an impressive 13 years! Her academic interest include Information Infrastructures, remote care, and AI in context, amongst others, which are reflected in many of her recent project efforts. The more recent AI4Users project, for instance, addresses the “black box” problem, contributing to the responsible use of AI for the digitalization of public services, as well as working towards a more intelligible and responsible use of AI in Norway. She has also been apart of a project named DIGI remote, which investigates the design, implementation and use of digital technologies for remote care for post-operative follow up in Norway and in China. To read more about her recent endeavors head to https://www.mn.uio.no/ifi/english/people/aca/miriag/.

80. Mona Naomi Lintvedt

Doctoral Research Fellow at Norwegian Research Center for Computers and Law at the University of Oslo

Mona is currently taking her PhD at UiO, her special fields being cybersecurity, e-government and privacy and data protection. Her PhD is part of the project Vulnerability in the Robot Society (VIROS). The VIROS project investigates the challenges and solutions in regulating robotics – legally and technically – particularly with respect to addressing the safety, security and privacy concerns such systems raise. The impact of the project will be ensured by involving multiple relevant stakeholders in the Norwegian public sector, consumer advocates, three robotics companies (two Norwegian and one Japanese), and leading international roboticists.

81. Mozhgan Tavakolifard

Nordic lead for platforms and ethical AI, Norway lead for Data Science and Machine Learning at Accenture

Mozhgan Tavakolifard holds a PhD in Machine Learning from the Norwegian University of Science and Technology (NTNU). She was born in 1983 in Tehran, Iran and graduated from NODET (National Organization for Development of Exceptional Talents) Middle and High Schools, which are developed specifically for the development of exceptionally talented students. Tavakolifard works across industries and her research focus has been on personalisation and customer behavioural modeling. Before her work with Accenture she worked as the first Data Scientist at Finn and Schibsted Media Group. Mozhgan combines her technical and hands on expertise with her understanding of business in representing the business towards customers and leading co-creation projects to realize the value of data.

82. Nina Walberg

Head of Data & Insight, ODA

Nina Walberg is Head of the Data & Insights team at Oda, a leading online grocery retailer in Norway. Before this position, Nina was head of insights for Schibsted Media and Performance Management and Analytics for VG. Nina also worked for other companies within Business Analytics, Financial Services, Risk Management and Business Intelligence. She has a Master's degree in Industrial Economics and Technology Management, and other internationally recognized certifications within the field of data analytics and machine learning.

83. Pia Helén Smedsrud

MD, CMO & PhD student at Augere Medical

Pia Helén Smedsrud describes herself as a MD with a background from journalism and dance, and an interest in technology, science and women’s health. She is currently working with AI in endoscopy. At the moment she is an industrial PhD Student at Simula Research Laboratory, as such still working to develop the research towards an applied direction. She is the Chief Medical Officer at Augere Medical that is currently aiming to develop a product that can use artificial intelligence to identify polyps in intestines to reduce the adverse impact of intestine cancer. Augere Medical has already begun the development of a product together with a distributor in Finland with the goal of reaching a CE-certification towards the end of 2021 that is required to sell the product in Europe. Worldwide there are about 2 million new cases of intestine cancer each year, and it is the third most deadly form of cancer.

84. Pinar Heggernes

Deputy rector at the University of Bergen

Pinar was a driving force in the establishment of the Norwegian Artificial Intelligence Research Consortium as the Chair of the Board of Directors. She is now the Deputy Rector at the University of Bergen. Pinar is a Professor of Informatics with a specialisation in algorithms. Pinar was born 1969 in Istanbul and finished her PhD in Informatics at the University of Bergen, Norway, 1996. She has contributed vastly to Norwegian research environment for more than 25 years, and engaged actively with academic service through a large variety of national boards. Her contributions are hard to quantify as they are so numerous and stretch across many areas of Norwegian society as well as her positive international influence in the field of AI. She has more recently made artificial intelligence a broader strategic priority across the University of Bergen with the UiB AI coordinating the effort accross the university.

85. Pinar Öztürk

Professor at Norwegian University of Science and Technology (NTNU)

The focal point for Pinar Öztürk’s research is artificial intelligence (AI), however she also does interdisciplinary research that combines AI and cognitive science. Her research activities lie within the representation and modeling of knowledge, case-based reasoning, multi-agent systems and more recently text data mining. The last of which is specifically connected to scientific discovery within climate science. Öztürk lectures and has responsibility for introduction to artificial intelligence, distributed artificial intelligence, multi-agent systems, and context sensitive systems. Before her position as Professor at NTNU she was a Senior Research fellow at SINTEF.

86. Polyxeni Vassilakopoulou

Associate Professor at the Department of Information Systems, UiA, and Project Manager at AI4Users

Polyxeni is interested in the design of ICT-enabled interventions in work systems and the bearing of digital technology on people and organizations. She conducts research within many fields including (but not limited to studies on the dynamics and governance of information infrastructures; studies on the appropriation and use of information technology through a practice lens; design-oriented studies with a sensitivity to user perspectives. Her main focus is data-driven value creation and the distribution of control over data (empirically studied mostly within healthcare).

Polyxeni is also the Project Manager and PI for AI4Users. The project is funded by the Norwegian Research Council and carried out by a partnership of three research institutions (UiA-leader, UiO, NTNU). AI4Users aims to strengthen the Responsible Use of Artificial Intelligence in public service delivery. The project takes a human-centred perspective for the development of tools and design principles to help users trust AI solutions. The novelty of AI4Users is that it targets specifically non-experts extending the reach of research beyond AI experts and data scientists.

87. Pranvera Hiseni

PhD candidate,  Genetic Analysis, NMBU

Pranvera Hiseni moved from Kosovo to Hamar to study Applied and Commercial Biotechnology in 2014. Nowadays, Hiseni works at Genetic Analysis AS, a Norwegian molecular diagnostics company specialized in mapping human gut bacteria, while finishing her industrial PhD at NMBU. Among others, she was involved in developing HumGut, a comprehensive Human Gut prokaryotic genome collection filtered by worldwide metagenome data. Representing a detailed register of gut bacteria residing in healthy human populations, HumGut lays the foundation for a streamlined marker and disease discovery. Through this work, she has discovered that the pool of bacterial species living in human guts all over the world exceeds 5,000, while individual healthy adults are hosts of around 200 species in average.

88. Rashmi Gupta

Postdoctoral Researcher at University of Agder

Dr. Rashmi Gupta is a Postdoctoral Researcher who is currently working with Prof. Dr. Morten Goodwin at the University of Agder, Norway. Rashmi Gupta successfully completed her doctorate degree (PhD.), from Dublin City University in Dublin, Ireland, under the supervision of Prof. Dr. Cathal Gurrin in 2020. The major focus of her research was on using wearable sensors in the domain of Lifelogging. During her tenure at National College of Ireland, she supervised above 200 students for their master’s thesis in Machine Learning and Artificial Intelligence. She was also engaged in teaching different IT courses such as machine learning and data mining, statistics, mathematics and calculus, operating systems, computer graphics, web application development, computer vision and data visualization, HTML/CSS, JavaScript, core and advance Java, and Python.

89. Rebecca Schmidt

Postdoctoral Researcher at University of Oslo

Rebecca is a member of the VIROS project (Vulnerability in the Robot Society) at the University of Oslo. In her research she explores the interplay between public and private regulation in the fields of AI and robotics. Her main focus is on EU-level legislation as well as on international technical standards, industry codes and best practices.

Rebecca obtained a PhD from the European University Institute and an LLM in International and Legal Studies from New York University. Before starting her current position, she was an assistant professor in law at the School of Law and Government at Dublin City University. She has published in international outlets such as the European Journal of International Law and the European Law Review. Her monograph 'Regulatory Integration across Borders' is published with Cambridge University Press.

90. Rebekka Olsson Omslandseter

PhD candidate at University of Agder

Rebekka Olsson Omslandseter is a PhD candidate (Integrated PhD candidate). She has always had interests in technology, and has her passion in data science. She took her BSc at UiA in 2017. Her research interests are in learning automatons, classification, mobile radio communications and signal processing. She is currently working on solving mobile radio communications issues through machine learning.

91. Rituka Jaiswal

PhD candidate at the University of Stavanger

Rituka Jaiswal is a Ph.D. researcher in Fog Computing with Machine Learning at the University of Stavanger, Norway in the Department of Electrical Engineering and Computer Science. She previously worked with Sapient, Samsung R&D (Noida) and R Systems International as software engineer from 2011 to 2016.

92. Saghar Asadi

Data Scientist at Inmeta Consulting AS

Saghar Asadi holds a M.Sc. in Astronomy, and went from exploring gravitational lensing and holding scientific machine learning workshops to advanced data handling in large corporations. Asadi has a wide skillset that spans the whole pipeline of data handling. Her extensive understanding of this combined with her advanced computational experience and analysis of behavioural or industrial data makes her a valuable asset. She contributes to the application of machine learning and data science in the Inmeta company community.

93.  Samia Touileb

Researcher, Mediafutures: Research Centre for Responsible Media Technology and Innovation

Samia Touileb is currently a researcher in MediaFutures WP5 on Norwegian Language Technologies. Prior to this she was a Postdoc at the Language Technology Group (LTG), Department of Informatics, at the University of Oslo. She holds a PhD in Natural Language Processing (NLP) from the University of Bergen, and has been working within research in and applications of NLP for almost a decade. Her main research interests are information extraction, sentiment analysis, bias and fairness in NLP, and applications of NLP and machine learning methods to tasks within social science research. She also mainly works on under-resourced languages such as Norwegian.

93. Sara Mohammadi

Doctoral Researcher at University of Oslo, AI, Machine learning, Energy Informatics, Security

Sara Mohammadi a Ph.D. candidate in Computer Science at the University of Oslo (UiO). As a member of Smart Community Neighborhood - driven by the energy informatics (smartNEM) project, whose vision is to exploit state-of-the-art ICT methods, tools and techniques for the future sustainable energy systems, she is working on designing P2P energy trading (sharing) systems in a community neighbourhood, finding their security issues, and providing suitable solutions to maintain the security of those systems by using Machine Learning techniques. Her research interests include Machine Learning, Data Mining, Security, Optimization, and Energy Informatics.

95. Sheri Shamlou

CCO at Solution Seeker

For the past 4 years, Sheri has held the position of CCO at Solution Seeker, responsible for the company’s external positioning, thereunder sales, marketing and recruitment, working on strategy, delivery model and business development. She’s been managing several large client accounts, as well as securing AI and machine learning deliverables in their day-to-day operations. Prior to this, Sheri worked as a Data Scientist at said company, and was in fact part of the original team responsible for starting the company back in 2014, which is a deep-tech spin-off from NTNU leveraging new developments within AI/ machine learning to optimize production. Sheri is passionate about tech, innovation and the opportunities of machine learning and AI, as well as holding an interest in the future of the energy sector.

96. Signe Moe

Manager at Sopra Steria

Signe Moe works as a Manager at Sopra Steria. Previously she worked as a research scientist at SINTEF Digital within analytics and artificial intelligence. She holds a PhD from NTNU and wrote her thesis with the Centre for Autonomous Marine Operations Systems (AMOS). As part of her PhD she spent six months at Stanford University working on the Red Sea Robotics project.

97. Signe Riemer-Sørensen

Research Manager, SINTEF

Signe Riemer-Sørensen is Research Manager for Analytics and AI at Sintef. Signe's main research fields are Explainable AI (XAI), hybrid modelling and reinforcement learning. At Sintef, Signe is part of many projects, often in close collaboration with well-known international companies. In her projects, she has used machine learning and AI to solve real-world issues such as reduced emission of climate gasses.

She has written many academic articles, has taken part in conferences, and has given lectures on data science, machine learning, and AI.

 

98. Solveig Masvie

Lead Data Scientist at Innovation Norway

Solveig Masvie is a computer Vision enthusiast and holds a master of Science in Applied Mathematics. Previously she worked as an analyst for Accenture and later as a data scientist for Inmeta. Within Inmeta she was highly focused on machine learning. Now, as a Lead Data Scientist in Innovation Norway she holds a great responsibility for ensuring an organisation appointed to work with innovation to expand their methods and approaches to data.

99. Stine Bakke-Haugseth

Director of Development,  Mattilsynet

Bakke-Haugseth earned her civil engineering M.sc from NTNU, majoring in innovation and entrepreneurship. Right after finishing her thesis in 2011, she began working at Capgemini, an enterprise management and data processing company, as a consultant. She continued her consulting work in Ernst & Young through 2018, and in 2019 she began working with the insurance company Fremtid, as the director of commercialization of data. Before this, she had also been working with the company’s smart car insurance app, Spinn, which uses smart technology to gather data about the customers driving in order to offer car insurance at the right price. In 2021 she received her current position as Director of Development at Mattilsynet, joining the company’s important work, with a recent increase in attention towards data & analytics going forward.

100. Thordis Thorarinsdottir

Chief Research Scientist at the Norwegian Computing Center

Thordis Thorarinsdottir is a statistician and chief research scientist at the Norwegian Computing Center (Norsk Regnesentral) where she is a research leader for climate and environment. She is also a co-leader of Climate Futures, a center for research-based innovation. In her research, she develops stochastic models and methods for the environmental sciences, with a special emphasis on uncertainty quantification. 

101. Toktam Ramezanifarkhani

Associate Professor, UiO

Toktam Ramezanifarkhani is an Associate Professor in the Department of Informatics at the University of Oslo. Some of her main areas of academic interest are AI, Information Technology, Information Security, Software and Programming Languages, Security Management, and Network Security.
While working for the UiO, she has been part of many projects related to her academic interests. From 2019, as part of the Women Researchers in Informatics Network, mentors young female researchers and students to motivate, inspire, and help them improve. Over the years, Toktam has published dozens of academic works in some of the most prestigious international and Scandinavian journals.

102. Tone Bratteteig

Professor, UiO

Tone Brattetig is a Professor at the Faculty of Mathematics and Natural Sciences, University of Oslo. Tone's main areas of academic interest include digitalization, participatory design, design of information systems, design with digital material, use of information systems, effects of technical solutions, human computer interaction, and interaction design. Tone is the leader for the study program Informatics: design, use, interaction, for BA and MA levels. She is also a member of many boards and committees, such as the board of Computers in Public and Private Administration at UiO, the steering committee of The NordiCHI, the advisory board of Scandinavian Journal of Information Systems, Participatory Design Conference, and Scandinavian Conference on Information Systems, etc. In 2016, she won the Education Prize at The University of Oslo, and in 2018, she won the Olav Thon's prize for outstanding teaching. In the academic field, she has published dozens of articles, books and chapters.

103. Tuva Hope

Senior Data Scientist i AI and Emerging Tech at Amesto

Tuva Hope is consulting within artificial intelligence and business intelligence, ranging from advisory services via implementation of data warehouses and dashboards, to advanced data science and an AI Lab. She works alongside many experienced analytics professionals, with 16 years average experience, approx. 50 % with PhD. Primary focus on Nordic top 500 corporations with many on the client list. Winner of 2020 SAS Nordic Sustainability Hackathon. The Reference within data driven insight.

104. Valeriya Naumova

Director at Simula Consulting AS

Valeriya Naumova is leading a new tech consultancy company, Simula Consulting, which is a daughter company of the Simula Group. Valeriya led the Machine Intelligence Department at Simula Metropolitan Center for Digital Engineering. Valeriya has more than ten years experience in machine learning and data-driven modelling. She has been leading several research and industrial machine learning-based projects, focusing on the development of theoretical approaches and numerical methods for learning from samples of complex high-dimensional data sets for various real-life applications. As the Director of Simula Consulting, Valeriya Prior plays a pivotal role bridging the gap between academia, industry and society. In her own words, Valerya is “ striving to multiply the number of these types of projects that see mathematics and computer science being applied in ways that continue to advance society”. Valeriya has been a prominent contributor to the development and advancement of predictive data-driven algorithms for addressing societal challenges, including algorithms used to predict glucose levels in diabetes patients and in cancer screening.

105. Wenche Celiussen

Project manager and AI Business developer

Wenche Celiussen is Project Manager and AI Business Developer. As Senior Advisor for Skattedirektoratet, she is currently working as a Project Manager for AI projects and Business development using advanced data analytics and machine learning techniques. Wenche has a long experience working with various projects utilizing the latest technological trends. In the past, she has worked on various important projects such as forecasting modelling, risk profiling and risk analysis, as well as other projects that focus on improving business processes and tax revenues. In terms of education, she has a Master's degree in Human Resources Management from BI University and another Master's degree in Project Management from NTNU University.

106. Xuan Zhang

Senior Researcher at NORCE Norwegian Research Centre Scientific Researcher at CAIR Center for Artificial Intelligence Research, UiA

Dr. Xuan Zhang received her PhD degree in Information and Communication Technology from the University of Agder (UiA) in 2015. She has a Master's degree in Signal and Information Processing and a Bachelor's degree in Electronics and Information Engineering. She is now a senior researcher in Norwegian Research Center (NORCE). At the same time, she is a scientific researcher at Centre of Artificial Intelligence Research (CAIR) in UiA. She is currently serving as a Board Member of Norwegian Association for Image Processing and Machine Learning.

107. Yulia Vibe

Senior Data Analytics Specialist at Circle K Europe

Yulia has B.sc. in applied mathematics from Novosibirsk University, and a M.sc. in geophysics from LMU. In 2017 she finished her Phd in Geoscience, thesis title being ´´Vertical plate motions in the West Siberian Basin and Northern Europe as indicators of mantle-induced dynamic topography´´. She completed her Phd in collaboration with Kalkulo AS, (Now Bluware), which functioned as a consulting company with extensive expertise in machine learning, data science, and high-performance cloud computing. She successfully defended her thesis on vertical motions of the Earth's lithosphere on February 5th, and as part of her work, Julia could demonstrate the existence of large scale epirogenic motions in the West Siberian Sasin (WSB) and also on the continental scale of Europe, most likely related do to sublithosphericaprocesses. Between the years 2018-2021 she worked as a data analyst for Lånekassen, before she in January 2021 received her current position as Senior Data Analytics Specialist for Circle K Europe.