CV

Education, experience, research projects, and selected responsibilities.

Education

Université Paris-Saclay 2025–2026

Research Master’s (M2), Mathematics and Artificial Intelligence

CentraleSupélec 2023–2026

Engineering Degree, specialization in Mathematics and Data Science

Beihang University 2025

Academic exchange

La Martinière Monplaisir 2021–2023

Preparatory classes in mathematics and physics

Experience

MBDA Sep. 2025 – 17 Sep. 2026

Generative AI Engineer · Apprenticeship

Work on multi-agent systems built around large language models. Non-public technical details are intentionally excluded from this site.

TotalEnergies Digital Factory Nov. 2023–Sep. 2025

Data Scientist · Apprenticeship

Selected research and projects

  • Few-Step Field Regularity: exact Gaussian analysis of probability paths, field regularity, and finite-step numerical error.
  • Ego-World JEPA: action-conditioned latent world models and MPPI planning on PushT, with a documented negative result.
  • Adaptive Latent Search: learned and heuristic stopping rules for compute allocation during latent optimization.
  • Decision Transformer for LOB trading: five-seed offline-RL benchmark on FI-2010, co-developed with Côme Genet.
  • Proximal Diffusion Models: PyTorch reproduction of published proximal diffusion methods.

See Research for questions, results, limitations, and public artifacts.

Technical focus

Generative modeling; flow matching and diffusion; latent world models; reinforcement learning and planning; numerical evaluation; reproducible experimentation in Python and PyTorch.

Teaching and service

  • Delivered practical artificial-intelligence workshops with Automatants.
  • Led a six-person team running network infrastructure for 450+ members as president of Rézo Metz-Rennes Fédérés.

Public profiles

GitHub · LinkedIn