Eric William Tramel

Amazon

Names

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

Eric William Tramel

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.

****@owkin.com
,
****@gmail.com
,
****@lps.ens.fr
,
****@msstate.edu
,
****@ens.fr
,
****@inri.fr
,
****@amazon.com

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.

Applied Scientist II
Amazon (amazon.com)
2021Present
 
Sr. Machine Learning Scientist
Owkin, Inc. (owkin.com)
20172021
 
Postdoc
Inria Paris (inria.fr)
20162017
 
Postdoc
LPS, ENS Paris (ens.fr)
20132016
 
Instructor
Mississippi State University (msstate.edu)
20132013
 
PhD student
Mississippi State University (msstate.edu)
20072012
 
Undergrad student
Mississippi State University (msstate.edu)
20042007
 

Advisors, Relations & Conflicts

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

Supervisor
Gilles Wainrib
****@owkin.com
20172020
 
Coworker
Simon Jégou
****@owkin.com
20172020
 
Coworker
Mikail Zaslavskiy
****@owkin.com
20172020
 
Postdoc Advisor
Marc Lelarge
****@ens.fr
20162017
 
Postdoc Advisor
Moez Draief
****@huawei.com
20162017
 
Coworker
Andre Manoel
****@gmail.com
20132017
 
Postdoc Advisor
Florent Krzakala
****@ens.fr
20132016
 
Postdoc Advisor
Lenka Zdeborová
****@gmail.com
20132016
 
PhD Advisor
James Fowler
****@ece.msstate.edu
20072012
 

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

Differential Privacy
2018Present
 
Distributed Learning Systems
2017Present
 
Federated Learning
2017Present
 
Privacy Preserving Machine Learning
2017Present
 
Machine Learning
2014Present
 
Restricted Boltzmann Machines
2014Present
 
Unsupervised Learning
2014Present
 
Streaming Inference
2014Present
 
Statistical Inference
2013Present
 
Statistical Physics
2013Present
 
Variational Inference
2013Present
 
Spin Glasses
2013Present
 
Disordered Systems
2013Present
 
Approximate Message Passing
2012Present
 
Feature Selection
2011Present
 
MRI Reconstruction
2010Present
 
Tomographic Reconstruction
2009Present
 
Compressed Sensing
2008Present
 
Multiview Imaging
20102012
 
Geospatial Imaging
20092012