Philipp Hennig

Philipp Hennig is a Full Professor in the Computer Science department at the University of Tübingen, holding the Chair for the Methods of Machine Learning established in 2018. He maintains an adjunct position at the Max Planck Institute for Intelligent Systems. His research focuses on probabilistic numerics and empirical inference, contributing to foundational advancements in machine learning.

Research interests include developing mathematical frameworks that bridge numerical computation and probabilistic modeling, with applications to uncertainty quantification and data-driven decision-making. His work emphasizes rigorous theoretical foundations while addressing practical challenges in modern AI systems.

No specific awards or grants are listed in the provided text. His academic profile highlights institutional affiliations and methodological contributions to machine learning theory rather than detailed enumerations of publications or trainees.