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
Engineering Degree in Mathematical Engineering & Data Science
Bachelor’s and Master’s Degree in Mathematics
Polytech Clermont-Ferrand
Classe Préparatoire MPSI-MP
Lycée La Fayette, Clermont-Ferrand
Ranked on CCINP final exam
French Baccalauréat in Mathematics
Lycée Virlogeux, Riom
European Section (English & Mathematics focus)
📚 Teaching
Teaching Assistant Méthodes Mathématiques (TD, 28h)
Bachelor level courses (L3). PSL Research University, Paris.
🧪 Work Experience
Physically informed learning methods for PDEs. Dimensionality reduction, convergence acceleration of Newton solvers.
Soil Mechanics Lab — Geomechanical modeling of rock systems. Optimization, Machine Learning, cluster computing.
Writing SEO-optimized product descriptions for an educational platform.