Yee Whye Teh
Artificial intelligence researcher
About Yee Whye Teh
Born 1977. Yee Whye Teh is a statistician, artificial intelligence researcher and university teacher, known for Deep belief network and Hierarchical Dirichlet process.
Early life and education Teh was born in Bukit Mertajam, Malaysia in 1977. He received his secondary education at Dunman High School, graduating in 1994.
Teh then received his tertiary education at the University of Waterloo and the University of Toronto where he was awarded a PhD in 2003 for research supervised by Geoffrey Hinton.
Research and career Teh was a postdoctoral fellow at the University of California, Berkeley and the National University of Singapore before he joined University College London as a lecturer.
Teh was one of the original developers of deep belief networks and of hierarchical Dirichlet processes.
He has been a research scientist at Google DeepMind.
Awards and honours Teh was a keynote speaker at Uncertainty in Artificial Intelligence (UAI) 2019, and was invited to give the Breiman lecture at the Conference on Neural Information Processing Systems (NeurIPS) 2017. He served as program co-chair of the International Conference on Machine Learning (ICML) in 2017, one of the premier conferences in machine learning.
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Important facts
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Named in this biography and alive at the same time
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Frequently asked questions
Who is Yee Whye Teh?
artificial intelligence researcher
When was Yee Whye Teh born?
Yee Whye Teh was born on 12 September 1977 in Malaysia.
What is Yee Whye Teh's occupation?
Yee Whye Teh is a statistician, artificial intelligence researcher and university teacher.
What is Yee Whye Teh known for?
Yee Whye Teh is known for Deep belief network and Hierarchical Dirichlet process.
Sources & further reading
Cite this page
APA: Biography.guide. (2026). Yee Whye Teh. https://biography.guide/yee-whye-teh/
MLA: "Yee Whye Teh." Biography.guide, https://biography.guide/yee-whye-teh/.
Chicago: "Yee Whye Teh." Biography.guide. https://biography.guide/yee-whye-teh/.
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