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Richard Zemel is a professor at Columbia University, specializing in the fields of machine learning and artificial intelligence. His research focuses on the intersection of machine learning and cognitive science, highlighting the development of robust and controllable machine learning systems. He also explores algorithmic fairness, aiming to ensure equitable outcomes in the application of AI technologies. Previously, Zemel held the NSERC Industrial Research Chair in Machine Learning at the University of Toronto, where he co-founded and served as Research Director at the Vector Institute for Artificial Intelligence. He is a recognized leader in his field, having been awarded the ONR Young Investigator Award and the NVIDIA Pioneer AI Award, among others. Furthermore, Zemel is the director of ARNI, the NSF Institute for Artificial Natural Intelligence at Columbia, and he participates actively in various academic committees, such as the Neural Information Processing Society Advisory Board. His career also includes significant teaching roles at the University of Toronto and the University of Arizona, where he contributed to the advancement of knowledge in computer science, particularly within the realms of AI and machine learning.
Columbia University • New York
Lead research and education in the field of computer science with a focus on machine learning.
Vector Institute for Artificial Intelligence • Toronto
Directed research initiatives in artificial intelligence.
University of Toronto • Toronto
Educated students in computer science, focusing on machine learning.
University of Toronto • Toronto
Engaged in research and teaching in the computer science department.
University of Toronto • Toronto
Taught courses and conducted research in computer science.
University of Arizona • Tucson
Specialized in psychology and computer science education.
Department of Anthropology (GSAS)