Nil Stolt-Ansó is a PhD student at the chair for Artificial Intelligence in Medicine and a member of the Munich Center for Machine Learning (MCML). He studied Artificial Intelligence with a focus on Machine Learning at the University of Amsterdam (UvA), receiving his M.Sc. in 2020. Prior to starting his PhD, Nil worked in the medical imaging industry, focusing on topics such as blood vessel segmentation, myocardial tissue tracking, and cardiac phase modelling. His current interests concern the application of geometric deep learning to imaging tasks.