Rousseau Judith

Biography

Judith Rousseau is currently a professor of statistics at CEREMADE at Paris Dauphine University – PSL and is affiliated with the University of Oxford. Her research covers the theoretical aspects of Bayesian procedures, as well as more methodological developments. From a theoretical perspective, she is interested in the interfaces between Bayesian and frequentist approaches and machine learning methods. A significant portion of her work focuses on the study of the frequentist properties of Bayesian methods; she also works on the links between Bayesian uncertainty quantification, machine learning, and generative models. She has also conducted more methodological research on MCMC and related algorithms, as well as on the elicitation of subjective prior distributions.
She has held numerous leadership roles within several learned societies. Notably, she is currently President-Elect of the International Society of Bayesian Analysis (ISBA). She is a fellow of the ISBA and the IMS, and received the Ethel Newbold Prize in 2015. She delivered a Medallion Lecture in 2017, received a European Research Council Advanced Grant in 2019, delivered the Le Cam Lecture in 2025, and will give a “sectional lecture” at the International Congress of Mathematicians (ICM) in July 2026.

Publications