Robert Bamler

Robert Bamler is a Professor of Data Science and Machine Learning at the University of Tübingen, Germany, and a member of the Cluster of Excellence "Machine Learning: New Perspectives for Science" and the Tübingen AI Center.

• Current affiliation: University of Tübingen (since November 2020)
• Prior roles: Postdoctoral Scholar at UC Irvine (with Stephan Mandt), Machine Learning Researcher at Disney Research (Pittsburgh/Los Angeles)
• Education: PhD in Theoretical Statistical and Quantum Physics from University of Cologne (2016), advised by Achim Rosch

Research Focus:

• Algorithm development for deep generative models (including large language models)
• Resource-efficient inference and model compression
• Probabilistic machine learning applications in natural sciences
• Theoretical foundations in statistics, information theory, and physics

Scientific Contributions:

• German Telekom Foundation PhD scholarship awardee
• Co-founder of the BamlerLab reading group on probabilistic modeling and compression

Key Collaborations:

• Stephan Mandt (UC Irvine)
• Bernhard Schölkopf (MPI-IS)
• Cluster of Excellence "Machine Learning" (Tübingen)

Teaching:

• Lecturer for "Data Compression With and Without Deep Probabilistic Models" (2021-2025)
• Organizer of weekly reading groups on function-space inference and compression algorithms