University of Waterloo
University of Toronto
Zoubin GhahramaniVP Research · Google DeepMindResearcher↗3 shared research fields
Both at Google DeepMind
Researcher · Academic
Yee Whye Teh
University of OxfordProfessor
Google DeepMindPrincipal Research Scientist
Teh co-created the hierarchical Dirichlet process, a widely used statistical method that lets related datasets share patterns while discovering how many groups they contain. His work helped make flexible Bayesian models practical across language, biology, and other data-rich sciences.
Career & education
Current rolesUniversity of Oxford2012-presentProfessorGoogle DeepMind2019-presentPrincipal Research Scientist
University of Oxford2012-presentGoogle DeepMind2019-presentPreviouslyGoogle DeepMind2016-2019Senior Staff Research Scientist
National University of Singapore2005-2006Postdoc
UC Berkeley2003-2004Postdoc
Google DeepMind2016-2019National University of Singapore2005-2006UC Berkeley2003-2004Work 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.
citations76,055As of Jun 15, '26
citations+6,019Since last snapshot, Aug 25, '25
Selected contributions
A fast learning algorithm for deep belief nets
With Geoffrey Hinton and Simon OsinderoMade deep networks easier to train by teaching them one layer at a time.
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Reviewed August 8, 2026 · Checked for accuracy and new information.
