Biography
I am an associate professor at UiT The Arctic University of Norway, the group leader of the UiT Machine Learning Group, a principal investigator in the SFI Visual Intelligence, and the SFF Integreat. I am head of the Applied Physics and Mathematics study program at UiT. 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-chair for the winter school of the yearly Northern Lights Deep Learning conference, a board member for the Norwegian Association for Image Processing and Machine Learning, and a member of the ELLIS Society.
I have previously been a guest researcher in the Image Processing Laboratory at the University of Valencia with Professor Gustau Camps-Valls, in the Understandable Machine Intelligence Laboratory at the Technical University of Berlin with Professor Marina M.-C. Höhne, and in the Section for Cognitive Systems at the Technical University of Denmark with Professor Lars Kai Hansen.
See Google Scholar for a list of my publications.
Recent news
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- Served as opponent at PhD defense at NTNU (March, 2026).
- Invited digital talk at the Centre for Artificial Intelligence - ZHAW School of Engineering in Winterthur, Switzerland (March, 2026).
- Supervised best student paper at National Conference on Image Processing and Machine Learning (October, 2025).
- Served as opponent at PhD defense at the Technical University of Berlin (October, 2025).
- Won best poster award at the Danish Digitalization, Data Science, and AI - D3A conference (August, 2025).
Older news
- Papers accepted at MICCAI and ICCV 2025 workshops (August, 2025).
- Granted industry PhD position from the Norwegian Research Council with the company KSAT (June, 2025).
- Paper accepted at MICCAI 2025 (May, 2025).
- Received a post-doc position from UiT High Score (April, 2025).
- Two papers accepted at the World Congress of xAI (April, 2025).
- Paper accepted at CVPR 2025 (March, 2025).
- Hosted 3-day project on multimodal learning in Hamburg as part of EUGLOH workshop on machine learning for biomedical applications (February, 2025).
- Received best paper award for the paper Mixing up contrastive learning: Self-supervised representation learning for time series published in Pattern Recognition Letters (November, 2024).
- Received funding to develop national course on multi-modal learning (October, 2024).
- Invited talk at the Danish Digitalization, Data Science and AI Conference (October, 2024).
- Paper accepted at NeurIPS workshop on XAI (October, 2024).
- Invited talk at yearly conference for Norway’s largest trade union for engineers and technologists (NITO) (September, 2024).
- Paper accepted at ECCV workshop on XAI (August, 2024).
- Interviewed on national Norwegian radio about AI research (June, 2024).
- Paper accepted at ICML 2024 (May, 2024).
- Invited talk at national meeting for technology transfer offices in Norway (April, 2024).
- 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-supervised 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).