Institut Polytechnique de Paris / SAMOVAR Laboratory
Research on the security impact of AI optimization in B5G and 6G wireless networks, with a focus on safe reinforcement learning, Reconfigurable Intelligent Surfaces and physical-layer security.
Paris-Saclay University
Graduate training in probability, statistics, optimization, machine learning, deep learning and reinforcement learning, with courses shared with CentraleSupelec, MVA and StatsML.
Paris-Saclay University
Selective dual curriculum in mathematics and physics, with rigorous foundations in mechanics, electromagnetism, quantum mechanics, probability and differential equations.
Dassault Aviation
Worked on AI for collaborative air combat through multi-agent reinforcement learning, including literature review and realistic Python/C++ environments for tactical scenarios.
CNRS / Signals and Systems Laboratory
Studied Few-Shot Learning methods for image classification on limited geological texture datasets, with PyTorch implementations and experimental comparison.
CNRS / IJCLab
Contributed to camera calibration and image-processing workflows for the ThomX particle accelerator, connecting physical instrumentation with computational analysis.
Selected work
RL & Autonomous Systems
A structured survey of reinforcement learning for autonomous air combat, comparing environments, control architectures and the challenges of reproducibility and real-world transfer.
The rings are a concise view of the tools that support my research workflow.
