Current Biographical Sketch
Charles Sutton is a Research Scientist at Google Brain and 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.
Professional and Educational History
- Research Scientist, Google, 2018-present.
- Reader in Machine Learning, School of Informatics, University of Edinburgh, 2014-present.
- Lecturer in Machine Learning, School of Informatics, University of Edinburgh, 2009-2014.
- Postdoctoral Researcher, University of California Berkeley, 2007-2009.
- PhD in Computer Science, University of Massachusetts Amherst, 2008.
- BA in Computer Science and Philosophy, St Mary’s College of Maryland, 1999.
Photographs
Web size (116x140)
(Image credits: Miles Osborne)