Prof. Yee Whye Teh

Prof. Yee Whye Teh’s research interests are in machine learning and computational statistics, in particular scalable learning, probabilistic models, Bayesian nonparametrics and deep learning.

He is particularly interested in theoretically well-founded, but practically relevant, statistical algorithms for learning from data. He has worked on applications in genetics/genomics, text processing, recommender systems, and machine vision.