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Colin Bellinger is an Associate Professor at the University of Ottawa in the School of Electrical Engineering and Computer Science. His research lies at the intersection of reinforcement learning (RL), robotics, and artificial intelligence with a particular focus on sample-efficient, generalizable RL algorithms for real-world systems that learn from limited data. Dr. Bellinger earned his Ph.D. in Computer Science from the University of Ottawa in 2016 and completed postdoctoral fellowships at the Alberta Machine Intelligence Institute (Amii) and Dalhousie University. From 2018 to 2025, he served as a Staff Scientist at the National Research Council Canada, where he led fundamental research into reinforcement learning, imbalance, and learning from limited data, particularly in applications related to health and medicine, as well as AI, science, and robotics. He has authored over 75 publications in top venues including NeurIPS, IEEE ICDM, IEEE ICDE, and leading journals such as Environment International and Expert Systems Applications. Dr. Bellinger has also co-organized workshops at ICLR and KDD and served as Co-Program Chair for the Graduate Students’ AI Symposium, actively reviewing for premier machine learning conferences and journals.
University of Ottawa • Ottawa, ON, Canada
Associate Professor in the School of Electrical Engineering and Computer Science.
National Research Council Canada • Ottawa, ON, Canada
Led fundamental research in reinforcement learning, including applications in health and medicine.
Department of History