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Ph.D. candidate in Applied Mathematics
Trying to accelerate the convergence of nonlinear solvers.

École Normale Supérieure Paris-Saclay & Michelin

Curriculum

🎓 Education

PhD Candidate in Applied Mathematics

Centre Borelli, ENS Paris-Saclay & Michelin

Thesis: Convergence acceleration of a nonlinear solver through physics-informed statistical learning

Supervisors: Mathilde Mougeot, Florian De Vuyst, Thibault Dairay

2024–2027

Engineering Degree in Mathematical Engineering & Data Science

Bachelor’s and Master’s Degree in Mathematics

Polytech Clermont-Ferrand

2021–2024

Classe Préparatoire MPSI-MP

Lycée La Fayette, Clermont-Ferrand

Ranked on CCINP final exam

2019-2021

French Baccalauréat in Mathematics

Lycée Virlogeux, Riom

European Section (English & Mathematics focus)

2019

📚 Teaching

Teaching Assistant Méthodes Mathématiques (TD, 28h)

Bachelor level courses (L3). PSL Research University, Paris.

2025

🧪 Work Experience

Michelin
Internship at Michelin (6 months) Feb–Aug 2024
Physically informed learning methods for PDEs. Dimensionality reduction, convergence acceleration of Newton solvers.
EPFL
Internship at EPFL (4 months) Apr–Aug 2023
Soil Mechanics Lab — Geomechanical modeling of rock systems. Optimization, Machine Learning, cluster computing.
Vittascience
Web Editor at Vittascience (6 weeks) Summer 2022
Writing SEO-optimized product descriptions for an educational platform.