CV

My CV can be found here.

Education

Université de Toulouse, Toulouse, France
Ph.D. in Applied Mathematics (2024–2027)
CIFRE Ph.D. with EDF R&D — Focus on Uncertainty Quantification, Sensitivity Analysis, Explainability in ML
Advisors: Fabrice Gamboa, Jean-Michel Loubes, Nicolas Bousquet, Joseph Muré

Institut Polytechnique de Paris, Palaiseau, France
M.Sc. in Statistical Learning (2023–2024)
Major in Statistics, Learning Theory, and Concentration Inequalities

ENSAE Paris, Palaiseau, France
Engineering Degree (2021–2024)
Specialization in Statistics, Probability and Machine Learning

Lycée Privé Sainte-Geneviève, Versailles, France
Classe Préparatoire MPSI–MP (2019–2021)
Intensive math & physics curriculum for entrance to top French engineering schools

Work Experience

Ph.D. CIFRE Researcher – EDF R&D, Chatou, France
2024–2027
Research on generalized Hoeffding decomposition for model explainability and uncertainty quantification in real-world industrial ML applications.

Research Intern – EDF R&D, Chatou, France
2024
Developed theoretical tools based on functional ANOVA to quantify uncertainty in black-box predictive models.

Research Intern – CREST / ENSAE, Palaiseau, France
2023
Worked on exploration strategies for restless bandits with theoretical guarantees under mixing assumptions (supervised by Azadeh Khaleghi).

Data Science Intern – Department of Public Finances, Évry, France
2022
Analyzed national public spending data, built forecasting models by sector, and contributed to macro-level budget reporting.

Skills

Languages: French (native), English (C1)
Programming: Python, LaTeX
Tools: Linux, Jupyter, Git