CV

Education

• Ph.D. in Artificial Intelligence (Math and Computer Science), Paris-Saclay University, 2025 (expected)
• M.S. in Mathematics and Artificial Intelligence, Paris-Saclay University, 2022
• B.S. double degree in Math and Computer Science, Paris-Saclay University, 2020

Work experience

• Summer 2022: Research Intern
  • RTE (Réseau de Transport d’Électricité)
  • Subject : Research on “possibilities of a decentralized power grid management in real time using multi-agent reinforcement learning”
  • Supervisors : Benjamin Donnot, Karim Chaouache, Clément Goubet
• Summer 2021: Research Intern
  • ENSAE
  • Subject : Multi-agent reinforcement learning on labor market
  • Supervisors : Vianney Perchet, Morgen Hoffmane

Skills

• Reinforcement learning
  • Multi Armed Bandits
  • Markov Decision Process
  • Deep RL
  • Game learning
• Machine Learning
• Optimization
• Probability theory and statistics
• Programming
  • Python
    • AI libraries : Jax (and associated libraries like optax, haiku, etc.), PyTorch, Scikit Learn, TensorFlow, etc.
    • Other : Numpy, Pandas, Matplotlib, etc.
  • Julia
  • C/C++
  • R
  • Java

Publications