08.12.2025
©BAdW / Karl Neunert
Tom Sterkenburg Wins Karl-Heinz Hoffmann Prize of the Bavarian Academy of Sciences
Honored for His Work at the Intersection of Philosophy, Statistics, and Machine Learning
MCML JRG Leader Tom Sterkenburg has been awarded the Karl-Heinz Hoffmann Prize of the Bavarian Academy of Sciences and Humanities (BAdW). The prize was presented at the Academy’s Ceremonial Annual Meeting on 6 December 2025 in Munich.
With its annual science prizes, the BAdW honors outstanding early-career researchers across disciplines. The Karl-Heinz Hoffmann Prize is awarded alternately in the humanities and the natural sciences. Tom Sterkenburg’s research is situated at the intersection of philosophy, statistics, and computer science. His work combines mathematical modeling, algorithmic simulation, and philosophical analysis to address the classical problem of induction in the context of machine learning.
Congrats to Tom on this achievement!
Related
18.12.2025
"See, Don’t Assume": Revealing and Reducing Gender Bias in AI
ICLR 2025 research led by Zeynep Akata’s team reveals and reduces gender bias in popular vision-language AI models.
16.12.2025
Fabian Theis Featured in Handelsblatt on the Future of AI in Precision Medicine
MCML PI Fabian Theis discusses AI-driven precision medicine and its growing impact on individualized healthcare and biomedical research.
16.12.2025
Gitta Kutyniok Featured in VDI Nachrichten on AI Ethics
Gitta Kutyniok discusses measurable criteria for ethical AI, promoting safe and responsible autonomous decision-making.
16.12.2025
Hinrich Schütze Featured in WirtschaftsWoche on Innovative AI Approaches
Hinrich Schütze discusses Giotto.ai’s efficient AI models, highlighting memory separation and context-aware decoding to improve robustness.