Charles Sutton

Registered user since Sun 12 Jun 2016

Name: Charles Sutton

Bio: Charles Sutton is a Reader (equivalent to Associate Professor: in Machine Learning at the University of Edinburgh. He is interested in a broad range of applications of probabilistic machine learning, including 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 Faculty Fellow of the Alan Turing Institute.

Country: United Kingdom

Affiliation: University of Edinburgh

Personal website:

Research interests: Machine learning, software engineering, programming languages


PPS 2018Author of SlicStan: Improving Probabilistic Programming using Information Flow Analysis within the PPS 2018-track
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