Glen Berseth (Preferred)
Glen Berseth
University of Montreal, University of 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.
****@gmail.com
, ****@gmail.com
, ****@cs.ubc.ca
, ****@berkeley.edu
, ****@eecs.berkeley.edu
, ****@iro.umontreal.ca
, ****@mila.quebec
Personal Links
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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.
Assistant Professor
University of Montreal, University of Montreal (iro.umontreal.ca)
2021 – Present
Assistant Professor
Montreal Institute for Learning Algorithms, University of Montreal, Université de Montréal (mila.umontreal.ca)
2021 – Present
Postdoc
University of California Berkeley (berkeley.edu)
2019 – 2021
PhD student
University of British Columbia (cs.ubc.ca)
2014 – 2019
MS student
York University Toronto (eecs.yorku.ca)
2012 – 2014
Advisors, Relations & Conflicts
Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest.
Postdoc Advisor
Sergey Levine
****@eecs.berkeley.edu
2019 – 2021
Coworker
Christopher Pal
****@polymtl.ca
2018 – 2019
PhD Advisor
Michiel van de Panne
****@cs.ubc.ca
2014 – 2019
PhD Advisee
Petros Faloutsos
****@eecs.yorku.ca
2012 – 2014
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
2017 – Present
Deep Learning
2016 – Present
artificial inteligence, multi-agent systems, planning
2014 – Present
Reinforcement learning
2014 – Present
physics-based animation
2014 – Present
machine learning
2014 – Present
Planning
2012 – Present
Computer animation, motion planning, derivative free optimization
2012 – 2016