Philipp Hennig is the Professor for the Methods of Machine Learning at the University of Tübingen. His research explores the foundations of machine learning, with a particular focus on probabilistic approaches that connect computation and inference. He has played a key role in establishing the field of probabilistic numerics and is the author of the textbook Probabilistic Numerics — Computation as Machine Learning.