Foundations of Machine Learning Systems

Prof. Dr. Robert C. Williamson was appointed as Professor for "Foundations of Machine Learning Systems" at the Eberhard Karls University Tübingen, Faculty of Mathematics and Natural Sciences in the winter term 2020/2021. The W3 professorship has been set up within the context of our Cluster of Excellence "Machine Learning: New Perspectives for the Sciences".

Research Interests

Bob Williamson is interested in understanding and designing machine learning systems as a whole. To that end he is pursuing theoretical questions regarding machine learning problems and how they relate to each other, including information theoretic limits of performance; the connections between information theory and societal challenges in machine learning (such as fairness); as well as developing new approaches to the overall architecture of machine learning systems that support trustworthiness and reliability in their use.

Further Information

For further information see Bob's webpage.


Bob is a fellow of the Australian Academy of Science and the Australian Mathematical Society. He has served on program committees for the major machine learning conferences (NeuriPS, COLT, ICML). In 2020, he is co-chair for tutorials at NeurIPS.  He was the lead author on the report Technology and Australia’s Future: New technologies and their role in our security, cultural, democratic, social and economic systems, conducted through the auspices of the Australian Council of Learned Academies.


Prof. Dr. Robert C. Williamson
Foundations of Machine Learning Systems

University of Tübingen
Cluster of Excellence "Machine Learning"
Maria-von-Linden-Str. 6, 3rd floor
Room No. 30-31/A4
72076 Tübingen

 +49 7071 29-70793

Charlotte Wenner
+49 7071 29-70791