Richard Zemel  

Richard Zemel

Trianthe Dakolias Professor of Engineering and Applied Science and Professor of Computer Science

Richard Zemel’s research focuses on machine learning and artificial intelligence. He is also interested in natural intelligence, including neuroscience and cognitive science. His recent research targets learning with few labels and creating robust and controllable machine learning systems, which can transfer to a variety of tasks and domains. He also has a strong interest in algorithmic fairness.

Previously, Zemel was the NSERC Industrial Research Chair in Machine Learning at the University of Toronto, and co-founded and served as the Research Director of the Vector Institute for Artificial Intelligence. He is the recipient of an ONR Young Investigator Award, an NVIDIA Pioneer of AI Award, and is a Fellow of the Canadian Institute for Advanced Research.

This Fall, he will teach a course on Neural Networks and Deep Learning and will teach a seminar class on machine learning in the Spring term. Zemmel is looking for PhD students who are interested in machine learning to join his research group. In his spare time, he likes sports such as hockey, squash and biking, and eating.