Charles Sutton

Google

Names

How do you usually write your name as author of a paper? Also add any other names you have authored papers under.

Charles Sutton (Preferred)
,
Charles A. Sutton

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

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)
2018Present
 
Professor
University of Edinburgh ( )
2012Present
 
Associate Professor
University of Edinburgh (ed.ac.uk)
2009Present
 
Visiting Researcher
Microsoft (microsoft.com)
20172017
 
Postdoc
University of California Berkeley (berkeley.edu)
20072009
 
PhD student
University of Massachusetts, Amherst (umass.edu)
20002007
 

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
2017Present
 
PhD Advisee
Simao Eduardo
****@sms.ed.ac.uk
2017Present
 
PhD Advisee
Maria Gorinova
****@ed.ac.uk
2016Present
 
PhD Advisor
Andrew K McCallum
****@cs.umass.edu
2003Present
 
Coworker
Xinyun Chen
****@berkeley.edu
20202020
 
PhD Advisee
Akash Srivastava
****@ed.ac.uk
20142018
 
PhD Advisee
Miltiadis Allamanis
****@allamanis.com
20132017
 
PhD Advisee
Krzysztof Geras
****@nyu.edu
20102014
 
PhD Advisee
Yichuan Zhang
****@googlemail.com
20092013
 
PhD Advisor
Andrew McCallum
****@cs.umass.edu
20122012
 
Postdoc Advisor
Michael Jordan
****@cs.berkeley.edu
20092011
 

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