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Judith Rousseau
Judith Rousseau is a Bayesian statistician who studies frequentist properties of Bayesian methods.[1] She is a professor of statistics at the University of Oxford, a Fellow of Jesus College, Oxford,[2] a Fellow of the Institute of Mathematical Statistics,[3] and a Fellow of the International Society for Bayesian Analysis.[4] Education and careerRousseau 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".[1] She completed a doctorate in 1997 at Pierre and Marie Curie University. Her dissertation, Asymptotic properties of Bayes estimates, was supervised by Christian Robert.[2][5] She taught at Paris Descartes University from 1998 to 2004, Paris Dauphine University beginning in 2004, and (while on leave from Paris Dauphine) at ENSAE from 2009 to 2014.[2] She joined Oxford in 2017.[6] RecognitionIn 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.[1] In 2019, she was awarded a European Research Council (ERC) Advance Grant for her project "General theory for Big Bayes". References
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