Michael Eickenberg

Flatiron Institute

Names

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

Michael Eickenberg (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.

****@berkeley.edu
,
****@nsup.org
,
****@inria.fr
,
****@gmail.com
,
****@flatironinstitute.org

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.

Researcher
Flatiron Institute (flatironinstitute.org)
2020Present
 
Postdoc
University of California Berkeley (berkeley.edu)
20172020
 
Postdoc
Ecole normale superieure (ens.fr)
20152017
 
PhD student
Inria Saclay (inria.fr)
20122015
 
PhD student
INRIA (inria.fr)
20122015
 

Advisors, Relations & Conflicts

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

Postdoc Advisor
Jack Gallant
****@berkeley.edu
20172020
 
Postdoc Advisor
Stephane Mallat
****@ens.fr
20152017
 
Coauthor
Gael Varoquaux
****@inria.fr
20142017
Coauthor
Alexandre Gramfort
****@inria.fr
20122017
Coauthor
Bertrand Thirion
****@inria.fr
20122017
Coauthor
Claude Comtat
****@cea.fr
20152015
Coauthor
Olivier Grisel
****@inria.fr
20152015
Coauthor
Philippe Ciuciu
****@cea.fr
20142015
Coauthor
Alexandre Abraham
****@gmail.com
20142015
PhD Advisor
Bertrand Thirion
****@inria.fr
20122015
 
Coauthor
Jean Kossaifi
****@imperial.ac.uk
20142014

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

neuroscience
Present
 
machine learning
Present
 
signal processing
Present