University of Toronto
Harvard University
Aleksander HolynskiAssistant Professor · Columbia UniversityResearcher↗
Researcher · Academic · Founder
Richard Zemel
Columbia UniversityProfessor of Computer Science
Born 1963
Zemel helped establish fairness as a core question in machine learning. His co-authored paper “Learning Fair Representations” showed how AI could learn useful patterns while limiting discrimination. He also helped develop AI that learns from a handful of examples and describes images in words.
Career & education
Current roleColumbia University2021-presentProfessor of Computer Science
Columbia University2021-presentPreviously
Vector Institute2017-2021Co-founder & Research Director
University of Arizona1996-2000Assistant Professor
Carnegie Mellon University1994-1996Postdoctoral Fellow
Vector Institute2017-2021Professor2009-2021
Associate Professor2001-2009
Assistant Professor2000-2001
University of Arizona1996-2000Carnegie Mellon University1994-1996Work and education history is primarily focused on AI-relevant roles and may not be comprehensive.
Citation Trend
Total citations to scholarly work, including research papers, technical reports, books and theses, as recorded by Google Scholar. Each point is a dated snapshot.
citations120,870As of Nov 1, '26
citations+596Since last snapshot, Oct 24, '26
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Reviewed August 10, 2026 · Checked for accuracy and new information.
