Martin Schrimpf

EPFL - EPF Lausanne

Names

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Martin Schrimpf

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.

****@mit.edu

Education & Career History

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Assistant Professor
EPFL - EPF Lausanne (epfl.ch)
2023Present
 
PhD student
Massachusetts Institute of Technology (mit.edu)
20172022
 
Intern
SalesForce.com (salesforce.com)
20172017
 
MS student
Technical University Munich (tum.de)
20142017
 
MS student
Ludwig-Maximilians-University Munich (lmu.de)
20142017
 
MS student
University of Augsburg (uni-augsburg.de)
20142017
 
Visiting student
Harvard University (harvard.edu)
20162016
 

Advisors, Relations & Conflicts

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PhD Advisor
James DiCarlo
****@mit.edu
2018Present
 
PhD Advisor
Joshua Tenenbaum
****@mit.edu
2018Present
 
Coworker
Richard Socher
****@salesforce.com
20172017
 
Coworker
Stephen Merity
****@smerity.com
20172017
 
Former Advisor
Gabriel Kreiman
****@childrens.harvard.edu
20162017
 

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

Computational Neuroscience
2017Present
 
Primate Visual Ventral Stream
2017Present
 
Computer Vision
2016Present