Prof. Dr. Philipp Hennig

Professor for the Methods of Machine Learning

Office
Maria-von-Linden Str. 6
Office 20-5/A24
 +49 7071 29-70850 (Secretary)
mml-sekretariatspam prevention@inf.uni-tuebingen.de

 

Office Hours
upon request

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 attained a PhD in the group of Sir David JC MacKay with research on machine learning. Since this time, he is interested in 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, Probabilistic Numerics — Computation as Machine Learning.

Hennig's research was supported, among others, by the Emmy Noether Programme of the German Research Union (DFG), an independent Research Group of the Max Planck Society, and a Starting Grant of the European Commission. 

Hennig is a 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 a member of the Steering Committee of the Tübingen AI Center, and Member of the Center of Excellence for Machine Learning in Science. In 2019, he received the annual Award for Excellence in Teaching of the Union of CS Students. Since October 2022, he serves as the Dean of Studies for the Department of Computer Science.

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

Résumé

Since 05/2018
Full Professor (W3)

Eberhard Karls University Tübingen

09/2016–10/2018
Max-Planck-Group Leader (W2)

Max Planck Institute for Intelligent Systems, Tübingen

05/2015–01/2016
Parental Leave
04/2015–08/2016
Emmy Noether Group Leader

Max Planck Institute for Intelligent Systems, Tübingen

03/2013–04/2015
Senior Research Scientist

Max Planck Institute for Intelligent Systems, Tübingen (Department of Empirical Inference)

07/2011–03/2013
Research Scientist

Max Planck Institute for Intelligent Systems, Tübingen (Department of Empirical Inference)

10/2007–01/2011
Doctor of Philosopy

University of Cambridge, UK (Sir David JC MacKay)

10/2001–03/2007
Diploma (MSci) in Physics

Ruprecht Karls University Heidelberg