Judith Rousseau

Judith Rousseau is a Bayesian statistician who studies frequentist properties of Bayesian methods. She is a professor of statistics at Université Paris-Dauphine. She was previously a professor at the University of Oxford, a Fellow of Jesus College, Oxford, and a professor at ENSAE Paris. She a Fellow of the Institute of Mathematical Statistics and a Fellow of the International Society for Bayesian Analysis.

Education and career

Rousseau studied statistics and economics at ENSAE ParisTech, starting in pure mathematics but changing fields after taking a statistics class "because of all the interactions it has with other fields". She completed a doctorate in 1997 at Pierre and [Marie Curie University]. Her dissertation, Asymptotic properties of Bayes estimators, was supervised by Christian Robert.
She taught at Paris Descartes University from 1998 to 2004, Paris-Dauphine University beginning in 2004, and at ENSAE from 2009 to 2014. She became Professor of Statistics at Oxford in 2017, then returned to Paris-Dauphine in 2023.

Recognition

In 2015 Rousseau won the inaugural Ethel Newbold Prize of the Bernoulli Society for [Mathematical Statistics and Probability].
The award recognizes a "recipient of any gender who is an outstanding statistical scientist for a body of work that represents excellence in research in mathematical statistics". The body of work for which Rousseau was recognized includes her work on infinite-dimensional variants of the Bernstein–von [Mises theorem].
In 2019, she was awarded a European Research Council Advance Grant for her project "General theory for Big Bayes".
As of 2026, she is president-elect of the International Society for Bayesian Analysis.