Étudiant Doctorat, McGill University
First year PhD student supervised by Prof. Siamak Ravanbakhsh (McGill University). Previously a Master student in Machine Learning and Data Science at CentraleSupélec and École Normale Supérieure (Université Paris-Saclay).
Working on symbolic music generation with deep learning. Current research interests include hierarchical inductive biases, applying equivariance / invariance priors for self-supervised learning and reinforcement learning for generative modeling.
Personal AI blog : https://excitingtimes.github.io/.