Yee Whye Teh

Yee-Whye Teh is a professor of Statistical [learning theory|statistical machine learning] in the Department of Statistics, University of Oxford. Prior to 2012 he was a reader at the Gatsby Charitable Foundation computational neuroscience unit at University College London. His work is primarily in machine learning, artificial intelligence, statistics and computer science.

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Education

Teh was educated 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 2019, and was invited to give the Breiman lecture at the Conference on Neural Information Processing Systems 2017. He served as program co-chair of the International Conference on Machine Learning in 2017, one of the premier conferences in machine learning.