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