CCAI Chair Category:
Faculty Member, Vector Institute; Assistant Professor, Depts. of Computer Science and Medicine, University of Toronto
Machine Learning for Health; Developing and applying machine learning methods that leverage the structure of data and problems in health including representation learning, reinforcement learning and inverse reinforcement learning, prediction, risk stratification, and model interpretability.
MIT Technology Review “35 Innovators Under 35” (2018)