Arash Tavakoli
Arash Tavakoli
Shift Lab
Names
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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
Personal Links
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Education & Career History
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Research scientist
Shift Lab (shiftlab.ai)
2022 – 2023
Postdoc
Max Planck Institute for Intelligent Systems (mpg.de)
2021 – 2022
PhD student
Imperial College London (imperial.ac.uk)
2016 – 2021
Research visitor
University of Alberta (ualberta.ca)
2019 – 2019
Research intern
Microsoft Research (microsoft.com)
2018 – 2018
MS student
University of Southern California (usc.edu)
2014 – 2016
Undergrad student
University College London (UCL) (ucl.ac.uk)
2010 – 2014
Undergrad student
Georgia Institute of Technology (gatech.edu)
2012 – 2013
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
2019 – Present
Social
Mehdi Fatemi
****@microsoft.com
2018 – Present
Social
Nemanja Rakicevic
****@deepmind.com
2016 – Present
Social
Fabio Pardo
****@imperial.ac.uk
2016 – Present
Advisor
Georg Martius
****@tuebingen.mpg.de
2021 – 2022
Advisor
Petar Kormushev
****@imperial.ac.uk
2016 – 2021
Advisor
Richard S. Sutton
****@ualberta.ca
2019 – 2019
Advisor
Harm van Seijen
****@microsoft.com
2018 – 2019
Advisor
Romain Laroche
****@microsoft.com
2018 – 2018
Advisor
Remi Tachet des Combes
****@microsoft.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
reinforcement learning
2016 – Present
deep learning
2016 – Present