CV

A comprehensive PDF version of my CV can be found Here.

Education

• September 2022 - March 2026 : Ph.D Student, ENS de Lyon
• 2021-2022 : M.S. MVA (Mathematics, Vision, Learning), ENS de Paris-Saclay
  France’s most prestigious Master’s in AI, taught by world-renowned researchers.
  • Classes taken: Computational Statistics, Reinforcement Learning, Introduction to Statistical Learning, Convex Optimization, Temporal Series Learning, Probabilistic Graphical Models, Deep Reinforcement Learning, Algorithms for Speech and NLP.
• 2020-2021 : Training for Agrégation de Mathématiques, ENS de Lyon
  Highest French degree for teaching (Mathematics).
• 2019-2020 : M.S. Fundamental Computer Science, ENS de Lyon
  • Classes taken: Parallel Programming, Optimization, Performance Evaluation, Proof and Programs, Semantics and Verification, Introduction to Machine Learning, Cryptography and Security.
• 2018-2019 :
  • B.S. Fundamental Computer Science, ENS de Lyon
  • B.S. Mathematics, Université Lyon 1

Research experience

• Septembre 2022 - March 2026: Ph.D
  • Topic: Risk-Sensitive Planning in Markov Decision Processes
  • Supervision: Aurélien Garivier, Claire Vernade
  • Thesis Committee: Vianney Perchet (reviewer), Marc. G. Bellemare (reviewer), Rémi Munos (Jury President)
  • Phd Thesis, Oral Defense
• Summer 2022: Research internship
  • Topic: Distributional Reinforcement Learning and Quantile Optimization
  • Supervision: Aurélien Garivier, UMPA at ENS de Lyon, Lyon
  • Report, Oral Defense
• Summer 2020: Research internship
  • Topic: Sparse matrix factorization and dictionnary learning for electronic tomography
  • Supervision: Guillaume Obozinski, Swiss Data Science Center, Switzerland (Remote)
• Summer 2019: Research internship
  • Topic: Formal modelling and analysis of the Insulin Signaling Pathway
  • Supervision: Cédric Lhoussaine, BioComputing team at CRIStAL, Lille