Short bio
Judith Rousseau works on the theoretical properties of Bayesian methods in high dimensions, with special interests in uncertainty quantifications, semi-parametric inference and scalable methods.
She received her Phd in Statistics at University Paris 6 in 1997. She was assistant professor in University Paris 5 from 1998 – 2003 and became Professor of Statistics at University Paris Dauphine in 2003. She has been statutory professor at the University of Oxford since 2017 and has now a joint affiliation between Oxford and Université Paris Dauphine. She has been an AE of a number of journals, such as Annals of Statistics, Bernoulli, JASA, EJS, Scandinavian Journal of statistics and is editor of Bayesian Analysis. She is a fellow of the IMS and ISBA. She received the Ethel Newbold prize in 2015, gave a Medallion lecture at the IMS in 2017 and has received an ERC advanced grant in 2019.