Prof. Dr. Philipp Hennig

Philipp Hennig holds the Chair for the Methods of Machine Learning. He studied Physics in Heidelberg, Germany and at Imperial College, London, before moving to the University of Cambridge, UK, where he completed a PhD in the group of Sir David J.C. MacKay with research on machine learning. Since then, he has been interested in the connections between computation and inference. With international collaborators, he helped establish the field of probabilistic numerics. In 2022, Cambridge University Press published his textbook on the subject.

Hennig's research was supported, among others, by the Emmy Noether Programme, a Max Planck Group, and Starting and Consolidator Grants of the European Research Council (ERC). 

Since July 2025, Hennig directs the Tübingen AI Center (with Matthias Bethge). He is a founding Fellow and Co-Director of the ELLIS Program on Theory, 

Algorithms and Computations of Modern Learning Systems (with Francis Bach and Lorenzo Rosasco). He is also a member of the Steering Committee of the Cluster of Excellence Machine Learning: New Perspectives for Science. From October 2022 to October 2025, he served as the Dean of Studies for the Department of Computer Science. He won the Teaching Award of the CS Students' Union twice, in 2019 and 2024.

An overview of research and teaching activities, as well as a list of publications, can be found on the corresponding web pages of the Chair, and on Google Scholar.