Selected NORA.ai Enrichment Scheme Candidates
We are delighted to announce that the selected candidates for the 2022 Enrichment Scheme with The Alan Turing Institute in London are Roxana Pop (UiO), Mariyam Khan (UiB), and Davor Dundovic (UiO).
Photo: Alex Moltzau
In April, the Norwegian AI Research Consortium (NORA.ai) and The Alan Turing Insitute (ATI) signed a Memorandum of Understanding (MoU) to foster research collaboration on Artificial Intelligence and strengthen the strategic relationship. One of the main parts of the MoU is the participation of PhD students from Norway in the Research Exchange Enrichment Scheme for six months at The Alan Turing Institute office in central London. We are happy that this agreement is being implemented and that our strong cooperation is bringing valuable results.
Roxana Pop is a PhD candidate at the University of Oslo in the Department of Informatics. Originally from Romania, she came to Norway last year to start a PhD in Artificial Intelligence. Her main research objective is to augment deep learning with traditional AI techniques in order to increase interpretability and reliability. More specifically, she wants to translate trained neural networks into logical programs in the context of dynamic Knowledge Graphs. Apart from research, she has been hiking quite a bit since coming to Norway, but she is still more likely to spend the weekends inside reading a good book. Roxana said, "I feel really fortunate to have such an opportunity during my PhD! A part of me still cannot believe I will be at the UK's national institute for Data Science and Artificial Intelligence for six months! I will have the chance to interact with PhD students and researchers from universities across the UK, and I plan to make the best of it! I am really excited about the stay, but I also feel the responsibility of being part of the pilot scheme. I will give my all to have a successful research stay as I want to do my part in solidating NORA.ai's connection to the UK research scene."
Mariyam Khan is a PhD candidate in Computational Biology and Causal Inference at the University of Bergen. She has an M.Sc. degree in Mathematical Data Science from the University of Göttingen, Germany, and a B.Sc. in Mathematics from the University of Delhi, India. Her main research area is to develop and apply models and algorithms for causal inference and Bayesian network structure learning in multi-omics data. Broadly speaking, her research interests are in the intersection of causal inference and machine learning. She is currently applying methods in Causal Inference to infer which genes are causal, particularly for the risk of Coronary Artery Disease and would then like to estimate the robustness of these methods. Mariyam said, "the Enrichment Scheme is a great opportunity for Norwegian researchers to get in contact with potential collaborators at the Alan Turing Institute, and it can aid the quality of research and exposure for researchers like me who are still in the early stages of their research career."
Davor Dundovic is a PhD candidate at the University of Oslo in the Department of Geosciences. He completed an MSc in Mathematical Modelling and Scientific Computing at the University of Oxford and a BSc in Geophysics at Imperial College London. He is most interested in addressing environmental challenges and developing sustainable solutions, particularly those related to climate change, low- and no-carbon energy and industrial solutions, but also challenges in medicine and healthcare. Davor said, "while my PhD thesis is on the effect of climate change on glaciers and coupled ocean-ice problems, the proposed methods are applicable to a wide range of research in science and engineering, which I hope to collaborate on. This multidisciplinarity and collaboration are at the heart of AI. Successes of AI in one field have continuously motivated and guided research in other, completely different areas. This leads to organically born collaborations within the scientific community but recently also requires more and more help from the non-scientific public to contribute to datasets and their classification. These collaborations are especially important for addressing humanity's greatest challenges, such as climate change, energy and public healthcare. Global issues require global solutions and people. NORA.ai and the Turing Institute are perfect embodiments of this idea, bringing together people from different backgrounds and allowing them to share knowledge and develop innovative solutions. I am very lucky to be a part of both and am particularly excited about contributing to building the Norwegian AI community and developing relationships within it."
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20 July 2022