Marylou Gabrié is an Assistant Professor at the Laboratoire de Physique of École Normale Supérieure and a member of the Centre de Science des Données of ENS. From 2022 to 2024, she was an Assistant Professor at the Centre de Mathématiques Appliquées at École Polytechnique.

Her research lies at the boundary of machine learning and statistical mechanics. She develops machine learning methods to address computational problems in statistical physics, with a particular focus on generative models, sampling methods, and Bayesian inference.

Marylou Gabrié was a Hi! PARIS Chair Holder for the 2021-2024 period with the project “High-Dimensional Probabilistic Modeling and Inference.” Her work explored how generative models and sampling methods can help study complex systems made of many interacting components, such as physical, biological, or economic systems.

Through this project, she contributed to the development of more efficient probabilistic inference methods for high-dimensional settings, where traditional approaches can become computationally costly.

Learn more about her Hi! PARIS Chair here.