Peter Grünwald is senior researcher in the machine learning group at CWI in Amsterdam, the Netherlands. He headed this group from 2016-2023. He is currently a member of the CWI Management Team, responsible for 4 of CWI’s 15 research groups. Peter is also full professor of Statistical Learning at the mathematical institute of Leiden University.

From 2018-2022 Peter served as the President of the Association for Computational Learning, the organization running COLT, the world’s prime annual conference on machine learning theory. Earlier he  was co-program chair of COLT and UAI. Apart from publishing at ML venues like NeurIPS, COLT and UAI, he regularly contributes to top statistics journals as well. He is editor of  Foundation and Trends in Machine learning (for what it’s worth: one of the world’s best scientific journals according to SJR) and author of the book (and standard reference) The Minimum Description Length Principle (MIT Press, 2007; see here for an up-to-date (2020), much shorter introduction). He is co-recipient (2010) of the Van Dantzig prize, the highest Dutch award in statistics and operations research.

Major grants received include NWO VIDI (2005), VICI (2010) and TOP-1 (2016) grants and an ERC Advanced Grant (2024). As to the latter: find here the  CWI announcement and interviews (in Dutch) in national newspapers De Volkskrant and Trouw. Note: the analysis of the SWEPIS trial, beautifully highlighted by De Volkskrant, has mostly been performed by my former Ph.D. student Rosanne Turner, in this paper; the BCG meta-analysis was done mostly by former Ph.D. student Judith ter Schure. And former Ph.D. student Rianne de Heide was interviewed on e-values in NRC Handelsblad. See also (in Dutch) my contribution to the  “What is your dream project?” project.