CV

Cycle Ingénieur

École Polytechnique

• Courses in pure and applied mathematics, computer science, physics, economics and business strategy.
• Leading French multidisciplinary engineering program ('Grande Ecole')
• Rankings - World's 2nd best small university (THE), 4th Alma Mater Index - Global Executives (THE).

MVA Master

ENS Paris-Saclay

• Stopping time and online learning (V. Perchet)
• Computational Optimal Transport (G. Peyre)
• Convex optimization (A. D’Aspremont)
• Statistical Learning (N. Vayatis)
• Altegrad - NLP (M. Vazirgiannis)
• Probabilistic Graphical Models and Deep Generative Models (P. Latouche - PA Mattei)
• Geometrical Data Analysis (J. Feydy)

Bachelor's degree (BSc) - Applied Mathematics

Université Paris-Dauphine PSL

• Leading French mathematics program.
• Rankings - 1st Millenium University (THE), 36th Shanghai 2020 (ARWU).
• Core courses - Probability, Statistics, Computer science, Calculus, Linear algebra, Analysis, Optimisation, Mesure theory, Game theory, Microeconomics, Macroeconomics.

Research Internship

Cluster Inc.

• I worked on black-box function approximation using bandits.

AI Consultant

Roland Berger

• Member of the data science team.
• I studied companies involved in AI in healthcare.

Research intership in mathematics

Ceremade Laboratory

• I studied the cutoff phenomenon for the simple exclusion process on the complete graph using Markov chain, based on H. Lacoin AND R. Leblond [paper](https://arxiv.org/abs/1010.4866)