Klas Wijk

About

I am a PhD student in Computer Science (Machine Learning) at the Division of Robotics, Perception and Learning (RPL), supervised by Hossein Azizpour, and co-supervised by Ricardo Vinuesa Motilva at the Department of Engineering Mechanics and Vinuesa Lab.

My research interests include deep generative models, inverse problems, feature selection, and physics-constrained learning for fluid mechanics. I received a BSc in Computer Science and an MSc in Applied and Computational Mathematics at KTH.

I am fully funded by the Swedish e-Science Research Centre (SeRC) and part of their Multidisciplinary Collaboration Program (MCP) in Data Science, led by Hedvig Kjellström. Additionally, I am part of the Wallenberg AI, Autonomous Systems and Software Program (WASP), the largest research program in Sweden. As a WASP student, I am enrolled in their graduate school.