Kristoffer Wickstrøm

Kristoffer Wickstrøm is an Associate Professor in the Machine Learning Group at UiT The Arctic University of Norway, where he serves as research leader for interpretability at SFI Visual Intelligence. His work focuses on deep learning, with emphasis on explainability, uncertainty modeling, and learning with limited data.

• Deep Learning
• Explainable Artificial Intelligence
• Uncertainty Analysis
• Medical Image Analysis
• Small Data Learning

His recent research trends include:

• Explainable AI for medical imaging and time series
• Uncertainty quantification in neural networks
• Physics-informed learning for PET imaging
• Representation learning for healthcare applications
• Robustness in clinical AI systems
• Sea ice forecasting with deep learning

Collaborations include work with:

• Prof. Gustau Camps-Valls (University of Valencia)
• Prof. Marina M.-C. Höhne (Technical University of Berlin)
• Prof. Robert Jenssen (UiT)
• Prof. Michael Kampffmeyer (UiT)