Jean-Michel Loubes

Jean-Michel Loubes is Professor of Applied Mathematics at the Institut de Mathématiques de Toulouse, and holder of the "Fair and Robust Learning" Chair at the Institut d'Intelligence Naturelle et Artificielle de Toulouse (ANITI). After completing his PhD in Toulouse and Leiden, he was a CNRS researcher at the University of Orsay and then at the University of Montpellier from 2001 to 2007. Since 2007, he has been a professor at the University of Toulouse, leading the Statistics and Probability team from 2008 to 2012. He has worked in mathematical statistics on estimation methods and optimal speeds in Machine Learning. His current research focuses on the application of optimal transport theory in Machine Learning, and on issues of fairness and robustness in Artificial Intelligence. Highly involved in links between academia and industry, he was regional manager of the CNRS's Agence de Valorisation des Mathématiques from 2012 to 2017, and has been a member of the Scientific Committee of the CNRS's Institut des Sciences Mathématiques et de leur Interaction (INSMI) since 2019.