Biography
I am an associate professor in the Machine Learning Group at UiT The Arctic University of Norway and a principal investigator in the SFI Visual Intelligence. My main research area is deep learning, with a particular focus on explainability and learning with limited labels. I am also interested in uncertainty modeling, information theory, kernel methods, and medical image analysis.
I am co-program chair for the yearly Northern Light Deep Learning conference. In the past, I have been part of the steering committee for the Visual Intelligence Gradudate School and part of the student council for the NORA Research School.
I have previously been a guest researcher in the Image Processing Laboratory at the University of Valencia with Professor Gustau Camps-Valls and in the Understandable Machine Intelligence Laboratory at Technical University of Berlin with Professor Marina M.-C. Höhne.
See Google Scholar for a list of my publications.
Recent news
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- Invited talk at yearly conference of the Confederation of Norwegian Enterprise Arctic (March, 2024).
- Interviewed by national Norwegian news agency TV2 about Meta’s policy on labeling AI-generated images (February, 2024).
- Opinion piece published in regional norwegian newspaper nordlys.no (December, 2023).
- Opinion piece published in national norwegian online newspaper khrono.no (November, 2023).
- Invited talk at AI Research Moonshots Workshop hosted by the Pioneer Centre for Artificial Intelligence (October, 2023).
- Invited lecturer for summer school on self-supervisd learning at the Technical University of Denmark (August, 2023).
- Paper accepted in TMLR (July, 2023).
- Organized course on self-supervised learning as part of the NORA research school (June, 2023).
- Organized gathering for AI enthusiasts in Tromsø (June, 2023).
- Paper accepted in IJCV 2023 (March, 2023).
- Paper accepted at CVPR 2023 (February, 2023).
- Defended PhD with opponents Assoc. Prof. Irina Voiculescu and Prof. Lars Kai Hansen (October, 2022).
- Funding granted for innovation project for PET imaging (September, 2022).
- Popular science article published at forskning.no (January, 2022).