Kevin Murphy is a research scientist at Google in Mountain View,
California, where he works on AI, machine learning, Bayesian inference,
computer vision,
and natural language understanding.
Before joining Google in 2011, he was an associate professor (with tenure)
of computer science and statistics at the University of British
Columbia in Vancouver, Canada. Before starting at UBC in 2004, he was
a postdoc at MIT.  Kevin got his BA from U. Cambridge, his MEng from
U. Pennsylvania, and his PhD from UC Berkeley. He has published over
120 papers in refereed conferences and journals, as well 3 textbooks
on machine learning published in 2012, 2022 and 2023 by MIT Press.
(The 2012 book was awarded the  DeGroot
Prize for best book in the field of Statistical Science.)
Kevin was also the (co) Editor-in-Chief of JMLR (the Journal of
Machine Learning Research) 2014--2017.