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

2023–2024

M.Sc. in Statistical Learning

Institut Polytechnique de Paris · Palaiseau, France

Learning theory, high-dimensional statistics and optimization.

2021–2024

Engineering Degree

ENSAE Paris · Palaiseau, France

Statistics and machine learning.

2019–2021

MPSI–MP Preparatory Classes

Lycée Sainte-Geneviève · Versailles, France

Intensive mathematics and physics curriculum.

Research internships

2024

Research Intern · EDF R&D

Chatou, France

Generalized functional ANOVA for correlated inputs and Boolean models.

2023

Research Intern · CREST

Palaiseau, France

Restless linear bandits and exploration strategies under mixing assumptions, supervised by Azadeh Khaleghi.

Teaching

2026

Statistics and Machine Learning

Teaching Assistant · CentraleSupélec, Paris-Saclay

Skills & languages

Technical

Python · LaTeX

Languages

French (native) · English (C1)