CV
Education
- Ph.D in Machine Learning and Molecular Dynamics, Ecole Nationale des Ponts et Chaussées, 2025-2028 (expected)
- Master in Business Administration, Collège des Ingénieurs, 2024-2025
- M.S. in Applied Mathematics and Machine Learning (MVA), ENS Paris-Saclay, 2023-2024
- Bachelor in Philosophy (double-degree with Ecole Polytechnique), Université Paris-Nanterre, 2022-2023
- Engineering degree (Master level), Ecole Polytechnique, 2020-2024
- Preparatory Classes PCSI/PC*, Lycée Henri IV, 2018-2020
Work experience
- Fall 2024 to Summer 2025: Technical Consultant @ DTIPG (SNCF)
- Produced a complete techno-economic study on the development of new and safe localization train systems as part of the Tech4Rail and ETCS projects.
- Managed the advancement of an innovative localization system based on perception sensors.
- Supervisor: Valentin Barreau
- Spring & Summer 2024: Research Intern @ Flatiron Institute CCM / ENS Ulm
- Developed sparse and explanable generative models to model turbulent flow Lagrangian trajectories based on wavelet theory.
- Developed tokenization techniques for large scale multimodal generative models for multiscale data as part of the Polymathic team.
- Supervisors: Stéphane Mallat, François Lanusse
- Spring & Summer 2023: Research Intern @ Inria Chile
- Implemented and trained large scale computer vision models (CNNs and ViTs) for plankton image recognition as part of the OceanIA project.
- Supervisor: Luis Marti
- Summer 2022: Consultant @ BearingPoint
- Project Management mission for the French Ministry of Internal Affairs (ANTAI).
- Supervisor: Marion Latrubesse
- Fall 2020 to Spring 2021: Platoon Leader @ RSMA Mayotte (French Army)
- Attended military training at the officer military schol of St-Cyr Coëtquidan.
- Organized and led military training of new hires at RSMA Mayotte.
Skills
- Languages: French (native), English (fluent), Spanish (advanced), Russian (notions)
- Programming Languages: Python, Julia, Java