Background & experience
Curriculum vitæ
Applied mathematics, statistics and interpretable machine learning.
Download my CV PDF · 2 pages ↗
Doctoral research
Dec 2024–Ph.D. in Applied Mathematics
Université de Toulouse & EDF R&D · CIFRE partnership
Functional decompositions and nonparametric interaction models for explainable machine learning under dependent inputs.
Academic supervisors: Fabrice Gamboa and Jean-Michel Loubes.
Industrial supervisors: Nicolas Bousquet and Joseph Muré.
Education
2023–2024M.Sc. in Statistical Learning
Institut Polytechnique de Paris · Palaiseau, France
Learning theory, high-dimensional statistics and optimization.
2021–2024Engineering Degree
ENSAE Paris · Palaiseau, France
Statistics and machine learning.
2019–2021MPSI–MP Preparatory Classes
Lycée Sainte-Geneviève · Versailles, France
Intensive mathematics and physics curriculum.
Research internships
2024Research Intern · EDF R&D
Chatou, France
Generalized functional ANOVA for correlated inputs and Boolean models.
2023Research Intern · CREST
Palaiseau, France
Restless linear bandits and exploration strategies under mixing assumptions, supervised by Azadeh Khaleghi.
Teaching
2026Statistics and Machine Learning
Teaching Assistant · CentraleSupélec, Paris-Saclay
Skills & languages
Languages
French (native) · English (C1)