Current Biographical Sketch
Charles Sutton is a Research Scientist at Google DeepMind. His research in machine learning is motivated by a broad range of applications, including natural language processing (NLP), analysis of computer systems, sustainable energy, data analysis, programming languages, and software engineering. His work in software engineering has won two ACM Distinguished Paper Awards (FSE 2014, ICSE 2020) and a 10-year Most Influential Paper award (MSR 2023). Previously, Dr Sutton was a Reader (equivalent to Associate Professor: http://bit.ly/1W9UhqT) in Machine Learning at the University of Edinburgh. 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 and a Fellow of the Alan Turing Institute.
Professional and Educational History
- Research Scientist, Google, 2018-present.
- Honorary Fellow, University of Edinburgh, 2022-present.
- Reader in Machine Learning, School of Informatics, University of Edinburgh, 2014-2022.
- 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.
(This page last updated: July 2023)
Photographs
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(Image credits: Miles Osborne)