Paul Michel (Preferred)
Paul Michel
DeepMind
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.
****@cs.cmu.edu
, ****@gmail.com
, ****@inria.fr
, ****@ens.fr
, ****@deepmind.com
, ****@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.
Researcher
DeepMind (deepmind.com)
2022 – Present
Postdoc
Ecole Normale Supérieure de Paris (ens.fr)
2021 – 2022
PhD student
School of Computer Science, Carnegie Mellon University (cs.cmu.edu)
2018 – 2021
MS student
School of Computer Science, Carnegie Mellon University (cs.cmu.edu)
2016 – 2018
Undergrad student
Ecole polytechnique (polytechnique.edu)
2013 – 2016
Advisors, Relations & Conflicts
Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest.
Coworker
Dani Yogatama
****@deepmind.com
2021 – Present
Postdoc Advisor
Emmanuel Dupoux
****@gmail.com
2021 – Present
Coworker
Sebastian Ruder
****@google.com
2021 – Present
PhD Advisor
Graham Neubig
****@cs.cmu.edu
2016 – 2021
Coauthor
Omer Levy
****@fb.com
2019 – 2019
Coauthor
Elisabeth Salesky
****@gmail.com
2019 – 2019
Coworker
Juan Miguel Pino
****@fb.com
2018 – 2018
Coworker
Xian Li
****@fb.com
2018 – 2018
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
Distributionally robust Optimization
2020 – Present
Continual Learning
2019 – 2020
Machine Translation
2016 – 2019