Professorships | University of Tübingen

Mario Krenn

Mario Krenn works on the development of AI systems for the discovery of new ideas and concepts in physics.

Jakob Macke

Our goal is to accelerate scientific discovery using machine learning and artificial intelligence (AI): We develop computational methods that help scientists interpret empirical data and use them gain scientific insights.

Zeynep Akata

Explainable Machine Learning
2019 - 2023
continued as Director of the Institute for Explainable Machine Learning, Helmholtz Munich and Professor for “Interpretable and Reliable Machine Learning”, Technical University of Munich (TUM)

Robert Bamler

Data Science and Machine Learning
2020 - 2025
continued as Principal Researcher in the MPEG-AI team at Nokia TECH, Munich, Germany

Wolfgang Spohn

Senior Professorship - Philosophy of Science
2019 - 2025

Stephan Eckstein

Mathematical Methods in Computer Science, Department of Mathematics, University of Tübingen

Stephan Eckstein works at the intersection of probability theory and machine learning, with a particular focus on statistical distances and efficient computational methods.

Michèle Finck

Law and Artificial Intelligence, Department of Law, University of Tübingen

Michèle Finck's research focuses on law and artificial intelligence with a particular emphasis on data (protection) law and governance.

Professorships established by the Cluster