CV
Education
PhD Student — Centre Borelli, ENS Paris-Saclay & Framatome Apr 2024 – Mar 2027
Main Topics: Machine Learning for Optimal Control, Machine Learning for Simulation, Sensitivity Analysis, Physics-Informed ML, Safe ML – with Application to the Nuclear Industry
MVA Master (Mathematics, Vision, Learning) — Highest Honours — ENS Paris-Saclay 2022 – 2023
Main Courses: Statistical Learning, Deep Learning, Machine Learning, Computer Vision…
Mathematics of Modeling Master — Sorbonne Université 2021 – 2022
Main Courses: Optimization, Optimal Transport, Functional Analysis, Game Theory, Statistics, PDE.
Ingénieur Civil des Mines — Mines Nancy 2019 – 2022
Main Courses: Probabilities, Statistics, PDE, Optimization, Machine Learning and Deep Learning.
MPSI – MP — Lycée Lakanal 2017 – 2019
Two intensive years to prepare contests for top French engineering schools.
Work Experience
Pre-Doctoral Researcher — Centre Borelli, ENS Paris-Saclay Apr 2023 – Mar 2024
Research on Machine Learning topics.
Teaching Assistant — Lycée Janson de Sailly, Lycée Condorcet, Paris 2021 – 2023
Mock Orals for Undergraduate Students.
R&D Intern — Framatome, Paris La Défense Apr 2022 – Aug 2022
Implementation from scratch of an optimization solver inside a dynamical system controlled by MPC algorithms.
Data Analyst Intern — Editec UK Ltd., London (UK) Jun 2021 – Aug 2021
Modeling & Forecasting of Lotto Sales. Analysis of players’ behaviour in order to create targeted new games.
Talks
Enhancing Nuclear Reactor Core Simulation through Data-Based Surrogate Models2025
International Congress on Advances in Nuclear Power Plants
1st Prize RL Challenge Accenta2024
Collège de France