Education

Teaching

Université Paris-Saclay

• Math for Data Science — M1, lectures and tutorials.
• Computer Vision — M2, lectures, tutorials, and projects; based on the course by Céline Hudelot and Maria Vakalopoulou (MICS).
• Frugal Learning — M2 projects, with Adrian Popescu (CEA List).
• Introduction to Machine Learning — L3 tutorials; course taught by François Landes (LISN).
• Introduction to Data Science — L1 tutorials; course taught by Fanny Pouyet (LISN).
• AI Research Project Supervision — TER, M1.

Previous teaching at CentraleSupélec

• Deep Learning — Master 2; course taught by Hervé Le Borgne (CEA List).
• Information Systems and Programming — L3/Bachelor; course taught by Gianluca Quercini (LISN).
• Coding Weeks Challenge — L1/Bachelor; course taught by Paul Tourniaire for the joint CentraleSupélec–McGill University bachelor's programme.