Charles Sutton is a Reader (equivalent to Associate Professor: http://bit.ly/1W9UhqT) in Machine Learning at the University of Edinburgh. He has published over 50 papers in probabilistic machine learning and deep learning, motivated by the demands of a broad range of applications, including natural language processing (NLP), analysis of computer systems, sustainable energy, data analysis, and software engineering. His work in software engineering has won an ACM Distinguished Paper Award. His PhD is from the University of Massachusetts Amherst, and he has done postdoctoral work at the University of California Berkeley. He has served as Director of the EPSRC Centre for Doctoral Training in Data Science at the University of Edinburgh. He is a Fellow of the Alan Turing Institute, the UK’s national research institute for artificial intelligence and data science. He is currently a visiting researcher at Google Brain.
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(Image credits: Miles Osborne)