Nicholas Roberts (Preferred)
, Nicholas Carl Roberts
Nicholas Roberts
University of Wisconsin-Madison
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.
****@ucsd.edu
, ****@gmail.com
, ****@cmu.edu
, ****@unify.id
, ****@cs.cmu.edu
, ****@cs.wisc.edu
, ****@gmail.com
, ****@wisc.edu
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.
PhD student
University of Wisconsin-Madison (wisc.edu)
2021 – Present
MS student
Carnegie Mellon University (cmu.edu)
2019 – 2021
Intern
Amazon AWS AI (amazon.com)
2019 – 2019
Intern
UnifyID (unify.id)
2019 – 2019
Undergrad student
University of California, San Diego (ucsd.edu)
2015 – 2019
Advisors, Relations & Conflicts
Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest.
PhD Advisor
Fred Sala
****@cs.wisc.edu
2021 – Present
Coauthor
Nina Balcan
****@cs.cmu.edu
2020 – Present
Coauthor
Chris Ré
****@cs.stanford.edu
2020 – Present
Advisor
Ameet Talwalkar
****@cmu.edu
2020 – Present
Mentor
Vinay Prabhu
****@unify.id
2020 – Present
Social
Tri Dao
****@cs.stanford.edu
2020 – Present
Social
Liam Li
****@liamcli.com
2020 – Present
Social
Mikhail Khodak
****@cmu.edu
2020 – Present
Advisor
Zack Lipton
****@cmu.edu
2019 – Present
Advisor
Sanjoy Dasgupta
****@eng.ucsd.edu
2018 – Present
Advisor
Gary Cottrell
****@ucsd.edu
2017 – Present
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