Tom Sterkenburg

Dr. Tom Sterkenburg leads the Emmy Noether research group 'From Bias to Knowledge: The Epistemology of Machine Learning' at Ludwig-Maximilians-Universität München's Munich Center for Mathematical Philosophy. His PhD thesis received the Wolfgang-Stegmüller-Award from the German Society for Analytic Philosophy.

His research investigates philosophical questions in machine learning and artificial intelligence, with emphasis on induction, statistical learning theory, and epistemological foundations. He examines universal prediction models and limitations of learning algorithms.

Publications analyze truth convergence in Bayesian methods, no-free-lunch theorems in supervised learning, and meta-inductive justification frameworks. His work bridges computational learning theory and philosophical inquiry.