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Resume (English only)
Academic Achievements
Develops models based on animal behavioral and neurophysiological data to reproduce the animal's neural learning ability. Currently applying discoveries in animals' interval timing ability to time series prediction (or event prediction) problems and exploring their potential use in reinforcement learning and robotics.
Research Experience
Worked at the Computer Research Institute of Montreal and École de Technologies Supérieures, leading to patented technologies. After that, he turned to neuroscience. Joined the Department of Mathematics and Computer Science at RMC in 2010 and is also cross-appointed at Queen's University.
Education
He has a Joint Honours degree in Mathematics and Computer Science from McGill University with a Minor in Cognitive Science. Then he completed his M.Sc. in machine learning at McGill University, mentioned on the Dean's Honours List. Dr. Rivest also obtained a Ph.D. in computational neuroscience at Université de Montréal.
Background
Research interests include Artificial Intelligence, Machine Learning, Reinforcement Learning, Animal Learning, Interval Timing, Dopamine, and Computational Neuroscience. He is particularly interested in how different systems in the brain collaborate to generate its amazing learning ability.