I am a M.Sc. Computer Science Research Student specializing in Artificial Intelligence at the Université de Montréal and Mila – Quebec AI Institute.

My work sits at the intersection of machine learning, reinforcement learning, and graph-structured data. I am particularly interested in how intelligent agents can reason over dynamic, interconnected systems like power grids.

I study how we can design agents that understand structure, adapt to changes, and make reliable decisions in environments with large action spaces and evolving graph topology.

More broadly, I aim to advance the foundations of decision-making in large and dynamic graph environments — and apply these methods to build more sustainable and resilient real-world systems.