I am a PhD candidate in Philipp Hennig's group at the University of Tübingen and the International Max Planck Research School for Intelligent Systems. I am interested in mathematically rich problems in machine learning. In particular, my research focuses on probabilistic machine learning models, such as Gaussian processes and Bayesian neural networks. My goal is to improve our understanding and design of such systems while guided by mathematical principles. Notably, my work relies on tools from differential geometry and functional analysis.