Bio
Yee Whye Teh is a Professor of Statistical Machine Learning at the University of Oxford, an Alan Turing Institute Faculty Fellow and a Research Scientist at Google DeepMind. He obtained his Ph.D. at the University of Toronto, and did postdoctoral work at the University of California at Berkeley and National University of Singapore (as Lee Kuan Yew Postdoctoral Fellow). He was a Lecturer then a Reader at the Gatsby Computational Neuroscience Unit, UCL prior to his current appointment.
He is also the Principal Investigator of the Mobility & Transmission project as part of the Turing-RSS Health Data Lab.
Research interests
At The Alan Turing Institute, he is interested in investigating novel scalable machine learning and computational statistics methods, in particular in the frameworks of probabilistic models, Bayesian nonparametrics and deep learning. He is interested in applications to machine perception, recommendation systems, genetics and genomics.
