He is a professor in the Department of Applied Mathematics at École Polytechnique, where he has been working since September 2013. His research is conducted at the Center for Applied Mathematics (CMAP), which he has had the privilege of directing since September 2025. He is a member of the SIMPAS team (Signal, IMage, Numerical Probabilities, and Statistical Learning). There, he works on data-related issues, using approaches from machine learning, artificial intelligence, statistics, and signal processing.

He has a strong interest in practical applications and in sharing knowledge through teaching. He is involved in both initial and continuing education. He is responsible for several courses offered by the School, including the MScT Data Science and Artificial Intelligence for Business, as well as continuing education programs (AI for Business and Leading with Data and AI) for Polytechnique Executive Education.

He also contributed to the creation of the M2 Data Science program at the Institut Polytechnique de Paris and managed the Applied Mathematics and Data Science PA for many years.

His current research focuses primarily on two areas: health (particularly women's health) and reinforcement learning.