CV

Education

Ph.D in Computer Science, Paris-Saclay University, December 2025
Supervisor: Cyril Furtlehner (TAU Team, INRIA Saclay – A&O–LISN–Paris-Saclay University–CNRS)
M.S. in Mathematics, Karlsruhe Institute for Technology, 2023
Diplôme d’Ingénieur, École polytechnique, 2018 (focus in Data Science)
B.S. in Mathematics, Paris-Sud University, 2015

Postdoctoral Researcher, OCKHAM Team, INRIA; LIP, ENS Lyon; CNRS (May 2026 – present)
Supervisors: Elisa Riccietti and Nelly Pustelnik

Julien Marie-Anne — M2 level (Master MVA), six months, 2025
Learning HJB Viscosity Solutions with PINNs for Optimal Control and Continuous-Time Reinforcement Learning.
Co-supervised with Alena Shilova. Led to a workshop publication.
Sheng Wan — Undergraduate level (first year of École polytechnique), two months, 2025
Kernel based Approach to Collocation Points Adaptation Strategy.
Co-supervised with Cyril Furtlehner.

Mini-symposium organizer — 12th French Biennial of Applied and Industrial Mathematics (SMAI), Carcans-Plage, June 2025
Machine Learning for Solving Direct and Inverse Problems in Partial Differential Equations
Reviewer — Neural Information Processing Systems (NeurIPS), 40th edition, 2026
Reviewer — International Conference on Machine Learning (ICML), 43th edition, 2026
Reviewer — International Conference on Learning Representations (ICLR), 14th edition, 2025
Reviewer — International Conference on Learning Representations (ICLR), 13th edition, 2024

Research visit — Numerics of Partial Differential Equations Group, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany, June–July 2024 (two months)
Collaboration with Tim Laufer and Dr Mehdi Elasmi under the supervision of Pr Willy Dörfler.

See the Publications page.

See the Talks page.

See the Teaching page.

Languages: Python, C/C++, PHP, JavaScript, Java, OCaml
Machine learning: JAX, PyTorch, TensorFlow, NumPy, Scikit-learn, SciPy, Keras, Optax, Pandas, Jupyter
Miscellaneous: Git, LaTeX, GNU/Linux (advanced)