Olivier Bussière
Researcher PHD Student at Université Laval
Quebec, Quebec, Canada
Summary
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Senior🎓
Top SchoolOlivier Bussière is a master's student in Artificial Intelligence at Université Laval with eight years of hands-on experience combining mathematics, software engineering, and applied machine learning. He researches ML-driven urban mobility simulation, developing sensitivity-guided calibration methods and Gaussian Process surrogates to make agent-based simulators like MATSim faster and more accurate. A proven organizer and leader—former president of the Science and Engineering Festival executive committee and recipient of a university involvement award—he brings strong project coordination skills to research teams. He has practical product experience building TypeScript/Node.js educational games and full-stack modules using the TALL stack, reflecting an ability to move from prototype to deployment. Based in Quebec City, he focuses on explainable, generalizable simulation models to evaluate transport policies and sustainable mobility impacts.
8 years of coding experience
Master's degree, Computer Science, Master's degree, Computer Science at Université Laval
Github Skills (2)
matlab4
agent-based-simulation3
Programming languages (3)
Github contributions (5)
OliBus801/CardGames
Jul 2021 - Nov 2022
Contributions:287 commits, 294 pushes, 1 comment in 1 year 4 months
OliBus801/TARL-simulator
Aug 2025 - Aug 2025
TARL-simulator is an agent-based traffic simulation framework combining Graph Neural Networks and Reinforcement Learning (PPO) for Dynamic Traffic Assignment. It learns adaptive routing policies and evaluates convergence toward User Equilibrium in synthetic or real networks.
Contributions:42 PRs, 57 pushes, 38 branches in 13 days
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