Cyril Letrouit

Cyril Letrouit is a Research Fellow at the CNRS (recruited in 2022) affiliated with the Orsay Mathematics Laboratory. He earned his PhD in 2021 under the supervision of Emmanuel Trélat and Yves Colin de Verdière at the École Normale Supérieure (ENS), followed by postdoctoral research at MIT (2022-2023). His work bridges geometry and partial differential equations to study physical properties, focusing on wave propagation and control in sub-Riemannian geometries, standing waves on manifolds and graphs, and analytical tools for artificial intelligence applications.

His research intersects pure mathematics and applied fields, collaborating with institutions in France, Switzerland, Italy, Canada, and the U.S. He is currently delivering a lecture series at the Collège de France (2025) on Quantitative Stability of Optimal Transport, addressing sensitivity of transport maps to perturbations of target measures, with applications to machine learning.

• Academic Background: École Normale Supérieure (ENS), PhD in Mathematics (2021).
• Postdoctoral Experience: Massachusetts Institute of Technology (MIT), 2022-2023.
• Research Themes: Geometry's influence on physical properties, PDEs, wave dynamics, AI applications.

Scientific Awards:

• Peccot course (Collège de France), 2024-2025.