Dr. Richard Zemel

Biography

Richard Zemel is a Professor in the Department of Computer Science at the University of Toronto and co-founder of the Vector Institute for Artificial Intelligence. He is an Industrial Research Chair in Machine Learning and a Senior Fellow at the Canadian Institute for Advanced Research. His research focuses on various aspects of machine learning, including environment inference, zero-shot learning, and causal modeling. He has published numerous papers in top-tier conferences such as ICML, ICLR, and NeurIPS, contributing to advancements in understanding biases in machine learning models and their implications in real-world applications. Some of his notable research includes investigating the limitations of generative models and developing frameworks to address fairness in AI systems. Zemel's work aims to bridge theoretical research with practical applications, making significant impacts in the fields of artificial intelligence and machine learning.

Research Interests

Experience