CV
Experience
- CEA research enginner @ CEA since December 2025.
- Post-doctoral researcher @ CEA Cadarache, February 2025 - November 2025, under the supervision of Emeric Bourasseau and Luca Messina. AI potentials for the mixed oxide nuclear fuel. Languages: Python, Bash; Software: ABINIT, VASP, LAMMPS, FitSNAP, Dakota.
- Recognized student @ Department of Statistics (Oxford University), Michaelmas term (September - December 2023), under the supervision of George Deligiannidis. Computing free energy differences using diffusion model techniques. Relevant topics include Jarzynski-Crooks’ equality, annealed importance sampling, diffusion models, Schrödinger bridges. Languages: Python.
- PhD student @ CERMICS (École des Ponts) and MATHERIALS (INRIA Paris), October 2021 - September 2024, under the supervision of Tony Lelièvre and Gabriel Stoltz.
- Research Intern @ Green Shield Technology, April - August 2021, under the supervision of Renaud Dessalles. Mathematical epidemiology applied to the spread of beetroot diseases. Relevant topics include mathematical epidemiology, scientific computing, simulation. Languages: Python.
- Data Scientist & Customer Success officer @ FieldBox.ai, January - July 2020. Machine learning challenges and IT support for customers (front-end and back-end). Relevant topics include machine learning, IT systems, front-end and back-end development. Languages: Python, Bash, JavaScript, Erlang.
- Research Intern @ CEA, June - November 2019, under the supervision of Jean-Bernard Maillet. Applying mathematics to molecular dynamics. Relevant topics include statistical physics, machine learning, scientific computing. Languages: C++, Python; Software: LAMMPS, PLUMED2.
Education
- Sorbonne Université, Master’s Degree, 2020 - 2021. Master de la Modélisation (Master of Modelisation), specializing in Analyse Numérique et Équations aux Dérivées Partielles (Numerical Analysis and Partial Differential Equations). Relevant topics include functional analysis, stochastic processes, numerical analysis, hyperbolic equations, multiscale systems, elliptic equations, Lorentzian differential geometry. Languages: Python, Julia.
- École Nationale des Ponts et Chaussées, Engineering Degree, 2017 - 2021. Specialization in Modélisation, Analyse, Simulation (Modelisation, Analysis, Simulation). Relevant topics include functional analysis, stochastic processes, Fourier analysis, numerical analysis, scientific computing, probability, statistics, optimal control, operational research, artificial intelligence, quantum mechanics, economics. Languages: C++, Python, Julia, Git, LaTeX.
Distinctions
- Pasquet’s Prize - Valedictorian of École Nationale des Ponts et Chaussées (2022)
- Bourse d’Excellence via the Chaire Saint-Gobain - École des Ponts ParisTech
- Helping pupils and students with their homework with Mosaïc, 2023 - 2024.
- PhD representative of the MSTIC doctoral school, 2023. Administrative meetings.
- PhD representative of the CERMICS laboratory, 2022 - 2023. 3-day seminar organization, administrative meetings.
- Member of the Running Vincennes Association, 2021 - 2024.
- Member of a sustainable development association Dévelop’Ponts, 2018 - 2019. Sustainable development projects, distribution of veggie baskets to students and staff, website update. Languages: PHP, HTML, Git.
- Member of the ENPC IT club KIClubInfo, 2018 - 2019. In charge of the club’s finances. Organization of LaTeX trainings for ENPC students. Languages: LaTeX, Git.
- Co-founder of the ENPC chess club, Pions & Chaussées, 2018 - 2019. Organization of chess tournaments and introduction to the game for ENPC students. Co-founder of the ENPC Lichess team.
Publications
- Mathematical analysis and numerical methods for the computation of transport coefficients in molecular dynamics, Preprint (2026)
- Optimizing the diffusion coefficient of overdamped Langevin dynamics, Mathematics of Computation (2025)
- Improving sampling by modifying the effective diffusion, Journal of Computational Physics (2025)
- Unbiasing Hamiltonian Monte Carlo algorithms for a general Hamiltonian function, Foundations of Computational Mathematics (2024)
Talks & posters
- DFT+U computations of strongly correlated systems: the case of PuO2 - GDR IAMAT 2026 (June 2026)
- DFT+U computations of strongly correlated systems: the case of PuO2 - AbiSchool 2026 (February 2026)
- Optimizing the diffusion of overdamped Langevin dynamics - 4th Italian Meeting on Probability and Mathematical Statistics (June 2024)
- Computational Statistical Physics: a numerical microscope - Labex Bézout PhD Day 2024 (May 2024)
- Optimizing the diffusion of overdamped Langevin dynamics - Mostly Monte Carlo (January 2024)
- Computing free energy differences using non-equilibrium dynamics - d² reading group (October 2023)
- Unbiasing Hamiltonian Monte Carlo algorithms for a general Hamiltonian function - MCM 2023 (June 2023)
- Optimizing the diffusion of overdamped Langevin dynamics - GAMM 2023 - Section 26: Modeling, analysis and simulation of molecular systems (May 2023)
- Optimizing the diffusion of overdamped Langevin dynamics - Birmingham Workshop: (Non)equilibrium Molecular Dynamics: Algorithms, Analysis, and Applications (May 2023)
- Optimizing the diffusion of overdamped Langevin dynamics - Mascot-Num 2023 (April 2023)
- Optimizing the diffusion of overdamped Langevin dynamics - ANR SINEQ Meeting (December 2022)
- Unbiasing Hamiltonian Monte Carlo algorithms for a general Hamiltonian function - MCQMC 2022 (July 2022)
- Unbiasing Hamiltonian Monte Carlo algorithms for a general Hamiltonian function - CECAM - Mixed-gen Season 2 – Session 7: Simulating non-equilibrium phenomena and rare events (April 2022)
- Unbiasing Hamiltonian Monte Carlo algorithms for a general Hamiltonian function - CECAM - Numerical Techniques for Nonequilibrium Steady States (April 2022)
- Unbiasing Hamiltonian Monte Carlo algorithms for a general Hamiltonian function - CERMICS - Young Researchers Seminar (March 2022)
Teaching
- Performing sampling of physical systems at equilibrium, Summer School on Sampling High-Dimensional Probability Measures with Applications in (Non)Equilibrium Molecular Dynamics and Statistics, Birmingham (2025)
- Discretization of Langevin dynamics and its Metropolization, Sampling high-dimensional probability measures: applications in (non)equilibrium molecular dynamics and statistics, Champs-sur-Marne (2023)
- Mathematics in Action, École des Ponts ParisTech (2023)
- Project: nonconstant diffusion coefficient for Metropolis-like algorithms, École des Ponts ParisTech (2023)
- Presenting MCMC methods in the molecular dynamics framework, CERMICS JSJC 2022, Provins (2022)
- Analysis course, École des Ponts ParisTech (2022)
- PDE course, École des Ponts ParisTech (2022)
- Introduction to mathematical epidemiology, École des Ponts ParisTech (2022)
