Marylou obtained her PhD in Physics from École Normale Supérieure in 2019, after which she moved to New York for a shared postdoc between the Center for Data Science of New York University and the Center for Computational Mathematics of the Simons Institute. Her research lies at the boundary of machine learning and statistical physics, using statistical physics to understand machine learning successes and adapting machine learning technics for scientific computing, in particular in the context of scarce data. She received the L’Oréal Fellowship for Women in Science in 2018.