Nicolas Gontier (Preferred)
, Nicolas Angelard-Gontier
, Nicolas A. Gontier
Nicolas Gontier
Polytechnique Montreal
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.
****@mail.mcgill.ca
, ****@polymtl.ca
, ****@mila.quebec
, ****@elementai.com
, ****@gmail.com
, ****@servicenow.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.
PhD student
Polytechnique Montreal (polymtl.ca)
2018 – 2022
MS student
McGill University, McGill University (mail.mcgill.ca)
2016 – 2018
Undergrad student
McGill University, McGill University (mail.mcgill.ca)
2012 – 2015
Advisors, Relations & Conflicts
Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest.
PhD Advisor
Siva Reddy
****@stanford.edu
2020 – 2022
PhD Advisor
Christopher Pal
****@gmail.com
2018 – 2022
Coworker
Raymond Li
****@elementai.com
2018 – 2020
Coworker
Jonathan Pilault
****@gmail.com
2018 – 2020
Coworker
Koustuv Sinha
****@mail.mcgill.ca
2017 – 2020
PhD Advisor
Joelle Pineau
****@cs.mcgill.ca
2016 – 2019
Coworker
Prasanna Parthasarathi
****@mail.mcgill.ca
2016 – 2019
Coworker
Michael Noseworthy
****@mail.mcgill.ca
2016 – 2017
Coworker
Ryan Lowe
****@mail.mcgill.ca
2016 – 2017
Coworker
Peter Henderson
****@mail.mcgill.ca
2016 – 2017
Coworker
Iulian Serban
****@umontreal.ca
2016 – 2017
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
deep learning, Transformers, RNNs, Chatbots, Natural Language Processing, systematic generalization
2016 – 2022