Yee Whye Teh joined Oxford University as a Professor of Statistical Machine Learning in 2012, working as a University Lecturer at the Department of Statistics and as a Tutorial Fellow at University College. Yee Whye holds an honorary appointment at the Gatsby Computational Neuroscience Unit at UCL, where he was Lecturer then Reader of Computational Statistics and Machine Learning from 2007 to 2012.
Prior to UCL, Yee Whye was Lee Kuan Yew Postdoctoral Fellow at the National University of Singapore and a Postdoctoral Fellow at University of California at Berkeley. Yee Whye obtained his Ph.D. in Computer Science at the University of Toronto in 2003, B.Math. in Computer Science and Pure Mathematics at the University of Waterloo in 1997.
Yee Whye's research focuses on probabilistic and Bayesian modelling and their use in large scale machine learning problems. He has made numerous contributions to Bayesian non-parametric modelling, language modelling, deep learning, variational and Monte Carlo learning algorithms and large scale learning. He has over 80 academic publications and over 6000 citations.
Yee Whye was program co-chair of the 2010 International Conference on Artificial Intelligence and Statistics.
He is associate editor for Bayesian Analysis, IEEE Transactions on Patern Analysis and Machine Intelligence, Learning Journal, the Royal Statistical Society Series B and an action editor for the Journal of Machine Learning Research. He has been area chair for NIPS, ICML and AISTATS on multiple occasions. He is a European Research Council Consolidator Fellow and has received grants from EPSRC, EU FP7, Gatsby Charitable Foundation, Xerox and Yahoo.