I am a PhD student at the University of Tübingen specializing in the philosophy of AI. My research applies complexity theory to examine in what sense machine learning models are complex, and to identify how to mitigate this complexity to achieve a better understanding of these models. I conduct this research as a part of the KEI research group. I am also an associated member of the International Max Planck Research School for Intelligent Systems (IMPRS-IS) and the Philosophy of Machine Learning Group at the Munich Center for Mathematical Philosophy (PhilML@MCMP).
I studied philosophy, mathematics and physics in Heidelberg and completed a M.A. in Logic and Philosophy of Science at the Munich Center for Mathematical Philosophy (MCMP). In my master thesis (supervised by Dr. Tom Sterkenburg and Dr. Levin Hornischer), I investigated the connection between machine learning theory and the principle of Ockham's razor (prefer simple solutions).
