Academic

Initially interested in Economics and Financial Analysis (asset pricing, hedge fund strategies), I transitioned to AI after graduating in under three years (2021). During my first M.Sc. at Laval University, I applied deep learning, signal processing, and computer vision techniques at the CERVO Brain Research Center to decode motor information (e.g., kinematics, behavior, grip force) from intracortical neural recordings in rodents. I now (almost) completed my second M.Sc. at the Mila AI Institute, where i specialized myself in Representation Learning for Deep Reinforcement Learning.

1) Background:

• 🎓 M.S. in Computer Science – University of Montreal / Mila Quebec AI Institute
• 🎓 M.S. in Computer Science – Laval University / CERVO Brain Research Center
• 🎓 B.A. in Economics – Laval University
• 🏫 Rochebelle High School – International Program
• 🏫 Stanislas College Quebec – Grade-skipped one year

2) Graduate Coursework:

• Information Theory
• Combinatorial Optimization
• Machine Learning
• Reinforcement Learning
• Representation Learning
• Theoretical Principles of Deep Learning
• Robot Learning
• Towards AGI: Scaling, Emergence, Alignment
• Design & Simulation of Intelligent Systems for Industry 4.0
• 3D Perception for Autonomous Vehicles
• Natural Language Processing
• Bioinstrumentation & Biomedical Microsystems
• Quantum Computing