Arash Tavakoli

Shift Lab

Names

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

Arash Tavakoli

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.

****@imperial.ac.uk
,
****@tuebingen.mpg.de
,
****@gmail.com

Education & Career History

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Research scientist
Shift Lab (shiftlab.ai)
20222023
 
Postdoc
Max Planck Institute for Intelligent Systems (mpg.de)
20212022
 
PhD student
Imperial College London (imperial.ac.uk)
20162021
 
Research visitor
University of Alberta (ualberta.ca)
20192019
 
Research intern
Microsoft Research (microsoft.com)
20182018
 
MS student
University of Southern California (usc.edu)
20142016
 
Undergrad student
University College London (UCL) (ucl.ac.uk)
20102014
 
Undergrad student
Georgia Institute of Technology (gatech.edu)
20122013
 

Advisors, Relations & Conflicts

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

Social
Sina Ghiassian
****@ualberta.ca
2019Present
 
Social
Mehdi Fatemi
****@microsoft.com
2018Present
 
Social
Nemanja Rakicevic
****@deepmind.com
2016Present
 
Social
Fabio Pardo
****@imperial.ac.uk
2016Present
 
Advisor
Georg Martius
****@tuebingen.mpg.de
20212022
 
Advisor
Petar Kormushev
****@imperial.ac.uk
20162021
 
Advisor
Richard S. Sutton
****@ualberta.ca
20192019
 
Advisor
Harm van Seijen
****@microsoft.com
20182019
 
Advisor
Romain Laroche
****@microsoft.com
20182018
 
Advisor
Remi Tachet des Combes
****@microsoft.com
20182018
 

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

reinforcement learning
2016Present
 
deep learning
2016Present