[4][5] Prior to 2012 he was a reader at the Gatsby Charitable Foundation computational neuroscience unit at University College London.

[6] His work is primarily in machine learning, artificial intelligence, statistics and computer science.

[2] Teh was one of the original developers of deep belief networks[9] and of hierarchical Dirichlet processes.

[10] 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.

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