Klas Wijk

About

I am a PhD student in Computer Science at KTH Royal Institute of Technology, supervised by Hossein Azizpour, and co-supervised by Ricardo Vinuesa at the University of Michigan. My expected graduation date is in late 2027. Before starting my PhD, I received a BSc in Computer Science and an MSc in Applied and Computational Mathematics at KTH.

My research is focused on different aspects of top-k: relaxations, sampling, and gradient estimation. I have also worked on generative models and inverse problems in fluid mechanics as part of a collaborative project. More generally, I am interested in all things machine learning, statistics, and applied mathematics.

My PhD is funded by the Swedish e-Science Research Centre (SeRC). I am also part of the Wallenberg AI, Autonomous Systems and Software Program (WASP), the largest research program in Sweden.