Marcus Häggbom

Marcus Häggbom is a Researcher at the Probability, Mathematical Physics and Statistics Unit of KTH Royal Institute of Technology, with an industrial affiliation to SEB. His work focuses on advancing transparent and explainable machine learning methods for applications in environments where data availability is constrained, particularly in the domain of financial risk assessment.

He is actively involved in the Wallenberg AI, Autonomous Systems and Software Program (WASP), a national initiative aimed at strengthening research and innovation in artificial intelligence and autonomous systems. His research integrates methodologies from mathematical physics and statistical modeling to address challenges in financial risk prediction using sparse datasets.