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 and the SFF Integreat. 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 Light Deep Learning conference and a board member for the Norwegian Association for Image Processing and Machine Learning. 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, 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

======

• 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 Confernece (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-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).