Welcome!

1) Overview

I am a Canadian AI graduate student completing my second M.Sc. in Computer Science at the University of Montreal and the Mila AI Institute. My research focused on Representation Learning for Deep Reinforcement Learning under the supervision of Pablo Samuel Castro. Previously, I was a Research Graduate Intern at CERVO Brain Research Center in Christian Ethier’s Lab, where I applied deep learning to decode intra-cortical signals for motor Brain-Computer Interaces (BCIs). Feel free to connect!

2) Research Interests

- Sensing, Reasoning, and Control:
• Representation learning from multimodal and high-dimensional data
• Deep Reinforcement Learning for complex policy learning and control
• Predictive world modeling, multi-step reasoning, and hierarchical planning

- Theoretical Challenges:
• Fundamental aspects of learning and intelligence
• Achieving better sample efficiency and generalization
• Optimizing target performance under resource constraints

- Applied Problems:
• AI-enhanced scientific simulations (e.g., CFD/FEA with surrogate models)
• Robotics learning in complex simulators, sim2real and real2sim challenges
• End-to-end learning for combinatorial problems (e.g., ressource allocation)
• AI-driven control for aerospace applications and Brain-Computer Interfaces

3) Personal Interests

I enjoy visiting technology, science, and space museums while traveling, having driven over 1.5 times the Earth’s circumference across my last three U.S. road trips for that purpose. I have a broad interest in reading across many subjects and enjoy practicing various physical sports.