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Graduated with a PhD in Computer Science from McGill University and Mila, advised by Prof. Doina Precup and Prof. Blake Richards.

My dissertation explored how principles inspired by biological learning and memory can be used to develop more adaptive Continual Reinforcement Learning systems. In particular, I studied predictive representations — Successor Representations and Successor Features — together with neuro-inspired synaptic consolidation mechanisms to better balance plasticity and stability in continually learning agents.