PHD Student at Mila - Quebec Artificial Intelligence Institute
Montreal, Quebec, Canada
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Summary
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Senior
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Top School
Charlie Gauthier is a PhD student at Mila with eight years of experience researching robot learning, reinforcement learning, vision, and control across academia and industry. He has worked on sim-to-real transfer, sparse reward design, and differentiable-simulation-enhanced particle filters during stints at Duckietown, Kyoto University, and Acrylic Robotics. Comfortable bridging research and engineering, he’s taught core CS and autonomous driving courses at Université de Montréal and implemented real-time learning on embedded platforms like the Jetson Nano. His background spans ML, RL, robotics, and functional programming, and he brings practical systems experience from NLP/OCR pipelines on AWS to hands-on robot deployments. Notably, his work combines rigorous simulation-based system identification with on-device learning for cross-morphology control problems.
8 years of coding experience
Research Master's Degree, Machine Learning, Research Master's Degree, Machine Learning at Mila - Quebec Artificial Intelligence Institute
Pre-university DEC, Pure and applied sciences, Pre-university DEC, Pure and applied sciences at Cégep de Granby
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Université de Montréal
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Charlie Gauthier - PHD Student at Mila - Quebec Artificial Intelligence Institute