(advised by J.W. van de Meent, Max Welling, and Alfons Hoekstra)
Institute of Informatics
University of Amsterdam
Science Park, Lab 42, L4.22
I am a PhD candidate at the Amsterdam Machine Learning Lab (AMLab) supervised by Jan-Willem van de Meent, Max Welling and Alfons Hoekstra. I use deep learning in various forms to learn PDEs from data. Before joining the University of Amsterdam, I was a research assistant at Helmholtz AI, where I worked on applications of machine learning for material science. I also spent some time working on graph neural networks and generative modelling with applications in neuroscience. Long ago, I developed statistical models of clinical treatment at TU Dresden.
Overall, my research interests revolve around physics-inspired deep learning and geometric deep learning. I am also interested in AI4Science and the applications of machine learning to physics.