Elisabeth Wetzer

Elisabeth Wetzer is an Associate Professor in Machine Learning at the Department of Physics and Technology, UiT The Arctic University of Norway. Her research bridges artificial intelligence with healthcare applications, focusing on multimodal image registration, bias mitigation in AI, and physics-informed learning models.

• Current Role: Associate Professor, Machine Learning Group
• Research Themes: AI ethics, medical imaging, cross-modal representations, algorithmic fairness

Her recent work explores technical challenges in PET imaging analysis and societal implications of AI bias. Collaborative projects span medicine, mathematics, and computer science disciplines.

Key scientific contributions include:

• Physics-informed deep learning for PET image data
• Studies on multi-task learning efficacy in medical classification
• Research on gender bias in algorithmic systems

She actively participates in diversity initiatives and public outreach, including presentations at Nobel laureate conferences and media engagements on AI ethics.