Kevin Murphy is currently an associate professor at the University of
British Columbia in Vancouver, Canada, in the departments
of computer science and statistics, which he joined in 2004.
He holds a Canada research chair in machine learning/ computational statistics.
Prior to coming to UBC, Kevin did a postdoc at MIT, his PhD at UC
Berkeley, his MSc at U. Pennsylvania, and his BSc at
U. Cambridge. Kevin is best known for his work in the area of
Bayesian networks/ graphical models. His current focus is on
semi-supervised learning of deep, hierarchical models with
applications to vison, text and biology.