Bio

I am currently a postdoctoral researcher in the institute of Mathematics of EPFL working within the MatMat group on data-driven methods in quantum chemistry.

Previously, I defended my Ph.D. thesis in Mathematics at the CERMICS lab of École Nationale des Ponts et Chaussées, in the MATHERIALS INRIA research project. My PhD project aimed to study mathematically and optimize algorithms to sample trajectorial quantities in molecular dynamics, such as transition times between metastable states (typically encountered in biology), or transport coefficients in fluids.

My Ph.D. was funded by the EMC2 ERC Synergy grant, and my advisors were Tony Lelièvre and Gabriel Stoltz. My thesis won the 2025 SMAI-GAMNI prize, a national award for Ph.D. theses in applied mathematics.

Here are the slides for my defense, and here is my thesis manuscript.

Before that, I completed the PMA MSc / M2 (analysis of stochastic processes), at Sorbonne Université in Paris. My thesis, Probabilités non-commutatives et entropie libre, can be found here (in French).

I then completed the ANEDP MSc / M2 (numerical analysis and PDEs) , also at Sorbonne Université. My research internship, (Non)-equilibrium molecular dynamics and a Norton method for the estimation of transport coefficients, took place at CERMICS with Gabriel Stoltz, and the resulting report can be found here.

Scientific interests

I am motivated by the field of computational (in particular statistical) physics and like working at the interface between probability theory, analysis of PDEs and dynamical systems. I am also exploring applications of machine learning in computational physics. For numerical experiments, I enjoy working with the Julia programming language, but I am also proficient in C/C++ and Python.