Jean-Michel Loubes is Professor of Applied Mathematics at the Toulouse Institute of Mathematics and holder of the "Fair and Robust Learning" Chair at the Toulouse Institute of Natural and Artificial Intelligence (ANITI). After a PhD in Toulouse and Leiden, he was from 2001 to 2007 a CNRS researcher at the University of Orsay and then at the University of Montpellier. Since 2007, he is 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 the issues of fairness and robustness of Artificial Intelligence. Very involved in the links between academia and industry, he was regional manager from 2012 to 2017 of the Agence de Valorisation des Mathématiques of the CNRS and sits since 2019 on the Scientific Committee of the Institut des Sciences Mathématiques et de leur Interaction (INSMI) of the CNRS.