Katalin Blix received a B.Sc. degree in Geosciences (2010) from the Western Norway University of Applied Sciences, and a Civil engineer/ M.Sc. (2014) and Ph.D. (2019) degrees from the Department of Physics and Technology at the UiT the Arctic University of Norway. She is currently a research fellow at the Department of Physics and Technology, UiT the Arctic University of Norway.
Blix’s research interests include machine learning algorithm development for regression, classification and feature relevance extraction; kernel machines, Bayesian statistics, and applications to remotely sensed data, such as bio-geochemical and sea ice parameter retrievals.
Blix is an active member of the Sentinel-3 validation team (since 2016) and Association of Polar Early Career Scientists (since 2019). She was the recipient of the 2017 Arctic Frontiers Outstanding Poster Award Overall Winner, the CIRFA 2017 Best Poster Award and the International Ocean Color Science (IOCS) 2019 travel grant awarded by EUMETSAT.