Dr. Pascal Poupart

Biography

Pascal Poupart is a Professor at the Cheriton School of Computer Science at the University of Waterloo, where he specializes in various aspects of machine learning. He received his Ph.D. from the University of Toronto in 2004, with earlier degrees from the University of British Columbia (M.Sc., 2000) and McGill University (B.Sc., 1998). His research interests are broad, covering areas such as Reinforcement Learning, Federated Learning, Continual Learning, Self-Supervised Learning, Meta Learning, and Causal Learning. Poupart is also focused on Uncertainty Quantification and Calibration Applications within these fields. His work in Machine Learning extends to Natural Language Processing, where he explores topics like Conversational Agents, Grammar Error Correction, and Automated Text Editing. Furthermore, he investigates Material Design applications involving Bayesian Optimization for catalysts and oxygen carrier materials that facilitate desirable chemical reactions like CO2 conversion and capture.

Research Interests