CV

A PDF version of my CV is available here.

Education

October 2023 – Present: PhD in Federated Reinforcement Learning, École Polytechnique.
2022 – 2023: Master 2 in Applied Mathematics and Machine Learning, Université Paris-Saclay
(Master MVA and third year of the engineering cycle).
2021 – 2022: Master 1 in Applied Mathematics and Machine Learning, Télécom Paris
(Second year of the engineering cycle).
2020 – 2021: Third year of Bachelor studies in Mathematics, Physics, and Computer Science, Télécom Paris
(First year of the engineering cycle).
2019 – 2020: Second year of Bachelor studies in Mathematics, Physics, and Computer Science, Lycée du Parc, Lyon
(Classe préparatoire MP*).
2018 – 2019: First year of Bachelor studies in Mathematics, Physics, and Computer Science, Lycée Daudet, Nîmes
(Classe préparatoire MPSI).

April 2023 – September 2023: Research Intern, Biomedical Informatics Lab, ETH Zurich.
Topic: Model selection in deep learning using PAC-Bayes bounds.
July 2022 – September 2022: Research Intern, LTCI Lab, Télécom Paris.
Topic: Variational inference.
Summer 2021: Automation Intern, Melexis, Neuchâtel, Switzerland.
Duties: Developed a Python user interface coordinating laboratory equipment for sensor measurements, and tested current sensors using lab devices such as current sources, magnetic-field generators, and sourcemeters.