CV
Education
- September 2022 - : 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.- Class taken: Computational Statistics, Reinforcement Learning, Introduction to Statisitical 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
- Class 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 - Currently: Ph.D
- Topic: Distributional and Risk-Sensitive Reinforcement Learning
- Supervision: Aurélien Garivier, Claire Vernade
- 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