Dr. Yee Teh

Biography

Prior to joining Oxford, Yee Whye Teh was a Lecturer and Reader in Computational Statistics and Machine Learning at the Gatsby Unit at University College London from 2007 to 2012. He obtained his PhD in Computer Science from the University of Toronto in 2003, after which he became a postdoctoral fellow at the University of California, Berkeley, and was also a Lee Kuan Yew Postdoctoral Fellow at the National University of Singapore. His research interests encompass a wide range of topics within machine learning, Bayesian statistics, and computational statistics, with a particular focus on Bayesian nonparametrics, probabilistic learning, large scale machine learning, and deep learning. These themes are motivated by the phenomenal growth in the quantity, diversity, and heterogeneity of available data, which is crucial for analyzing and opening new scientific frontiers and fostering future economic growth. In the longer term, Teh is focused on developing general methods to handle data, which will serve as important testing grounds for artificial general intelligence systems.

Research Interests