Published multiple papers including: 'Nonparametric Partial Disentanglement via Mechanism Sparsity', 'On the Identifiability of Latent Action Policies', 'Additive Decoders for Latent Variables Identification and Cartesian-Product Extrapolation', etc.; Received Université de Montréal's Best Thesis Award 2024-2025 in the Science and Engineering category.
Research Experience
Current position as a research scientist at Samsung AI Lab (SAIL) in Montreal; Joined SAIT AI Lab (Samsung) in Montreal as a research scientist in September 2023.
Education
Defended Ph.D. thesis in August 2024 under the supervision of Simon Lacoste-Julien; Graduated from Université de Montréal with a Bachelor's degree in Mathematics and Economics.
Background
Research scientist at Samsung AI Lab (SAIL) in Montreal. Current focus is on the identifiability of statistical models in causality and representation learning, as well as causal structure learning with continuous-constrained optimization methods.