Bayesian Modeling and Causal Inference
79 faculty research Bayesian Modeling and Causal Inference on GradNova.
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Associate Professor, Teaching Stream and Associate Director, Undergraduate Studies
Applications of Machine Learning in Natural Language Processing (conversational Agents, Grammar Error Correction, Automated Text Editing) and Material Design (bayesian Optimization of Catalysts, Oxygen Carriers and Other Materials to Facilitate Desirable Chemical Reactions for Co2 Conversion and Co2 Capture)
Machine Learning, Including Reinforcement Learning, Federated Learning, Continual Learning, Self-Supervised Learning, Meta Learning, Few Shot Learning, Causal Learning, Uncertainty Quantification and Calibration
Reinforcement Learning in Robotics
Topic Modeling
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Professor, and Canada Research Chair in Reliable Structure Discovery
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Assistant Professor Smead Aerospace Engineering Sciences
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Associate Professor • Roubos Engineering Endowed Faculty Fellow
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Distinguished Professor, Jack Baskin Chair in Computer Engineering