Dominique Beaini

Université de Montréal

Names

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

Dominique Beaini (Preferred)

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.

****@gmail.com
,
****@invivoai.com
,
****@valencediscovery.com
,
****@umontreal.ca

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.

Associate Professor
Université de Montréal (umontreal.ca)
20222024
 
Associate Professor
Mila - Institut Québécois d'intelligence artificielle (mila.quebec)
20212024
 
Principal Researcher
Valence Discovery (valencediscovery.com)
20192024
 
PhD student
Polytechnique Montreal (polymtl.ca)
20162019
 

Advisors, Relations & Conflicts

Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest.

Coworker
Yoshua Bengio
****@mila.quebec
2022Present
 
Coworker
Jian Tang
****@gmail.com
2022Present
 
Social
Michael Bronstein
****@cs.ox.ac.uk
2021Present
 
Coauthor
Pietro Lio
****@cam.ac.uk
2019Present
 
Coworker
Prudencio Tossou
****@invivoai.com
2019Present
 
Coauthor
William Hamilton
****@cs.mcgill.ca
20202020
 
Coauthor
Petar Veličković
****@gmail.com
20192019
 
PhD Advisor
Sofiane Achiche
****@polymtl.ca
20162019
 
PhD Advisor
Maxime Raison
****@polymtl.ca
20162019
 

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

Robotics
Present
 
Computer vision
Present
 
Drug discovery
Present
 
Graph neural networks
Present
 
Deep learning
Present
 
Molecular machine learning
Present