Charles Sutton (Preferred)
, Charles A. Sutton
Charles Sutton
Names
How do you usually write your name as author of a paper? Also add any other names you have authored papers under.
Emails
Enter email addresses associated with all of your current and historical institutional affiliations, as well as all your previous publications, and the Toronto Paper Matching System. This information is crucial for deduplicating users, and ensuring you see your reviewing assignments.
****@inf.ed.ac.uk
, ****@cs.umass.edu
, ****@google.com
Personal Links
Add links to your profiles on other sites. (Optional)
Education & Career History
Enter your education and career history. The institution domain is used for conflict of interest detection and institution ranking. For ongoing positions, leave the end field blank.
Research Scientist
Google (google.com)
2018 – Present
Professor
University of Edinburgh (ed.ac.uk)
2012 – Present
Visiting Researcher
Microsoft (microsoft.com)
2017 – 2017
Associate Professor
University of Edinburgh (ed.ac.uk)
2009 – 2012
Postdoc
University of California Berkeley (berkeley.edu)
2007 – 2009
PhD student
University of Massachusetts, Amherst (umass.edu)
2000 – 2007
Advisors, Relations & Conflicts
Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest.
PhD Advisee
Kai Xu
****@ed.ac.uk
2017 – 2022
PhD Advisee
Simao Eduardo
****@sms.ed.ac.uk
2017 – 2022
PhD Advisee
Maria Gorinova
****@ed.ac.uk
2016 – 2022
PhD Advisee
Lazar Valkov
****@gmail.com
2016 – 2022
Coworker
Xinyun Chen
****@berkeley.edu
2020 – 2020
PhD Advisee
Akash Srivastava
****@ed.ac.uk
2014 – 2018
PhD Advisee
Miltiadis Allamanis
****@allamanis.com
2013 – 2017
PhD Advisee
Krzysztof Geras
****@nyu.edu
2010 – 2014
PhD Advisee
Yichuan Zhang
****@googlemail.com
2009 – 2013
PhD Advisor
Andrew McCallum
****@cs.umass.edu
2012 – 2012
Postdoc Advisor
Michael Jordan
****@cs.berkeley.edu
2009 – 2011
PhD Advisor
Andrew K McCallum
****@cs.umass.edu
2003 – 2008
Expertise
For each line, enter comma-separated keyphrases representing an intersection of your interests. Think of each line as a query for papers in which you would have expertise and interest. For example: deep learning, RNNs, dependency parsing
conditional random fields
Present
software engineering
Present
data mining
Present
deep learning
Present
program synthesis
Present