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 a broad range of applications of probabilistic machine learning and deep learning, including natural language processing (NLP), analysis of computer systems, software engineering, sustainable energy, and exploratory data analysis. 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 is currently Director of the EPSRC Centre for Doctoral Training in Data Science at the University of Edinburgh, and a Turing Fellow of the Alan Turing Institute.
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