Published several academic papers, such as 'Revisiting Likelihood-Based Out-of-Distribution Detection by Modeling Representations' and 'Towards Controllable Image Generation through Representation-Conditioned Diffusion Models'.
Research Experience
Currently an AI/MLX Assistant Professor within the Wallenberg AI, Autonomous Systems and Software Program (WASP). Core member of the Analytic Imaging Diagnostics Arena (AIDA), a national arena for research and innovation around AI for medical imaging diagnostics. Affiliated researcher of the Center for Medical Image Science and Visualization (CMIV).
Education
PhD in computer graphics and image processing, focused on high dynamic range (HDR) imaging and machine learning.
Background
Research interests include machine learning, computer vision, and image processing, with applications in computer graphics and medical image diagnosis. Holds a PhD in computer graphics and image processing, focusing on high dynamic range (HDR) imaging and machine learning.