Eric William Tramel
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.
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
Personal Links
Add links to your profiles on other sites. (Optional)
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)
2021 – Present
Sr. Machine Learning Scientist
Owkin, Inc. (owkin.com)
2017 – 2021
Postdoc
Inria Paris (inria.fr)
2016 – 2017
Postdoc
LPS, ENS Paris (ens.fr)
2013 – 2016
Instructor
Mississippi State University (msstate.edu)
2013 – 2013
PhD student
Mississippi State University (msstate.edu)
2007 – 2012
Undergrad student
Mississippi State University (msstate.edu)
2004 – 2007
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
2017 – 2020
Coworker
Simon Jégou
****@owkin.com
2017 – 2020
Coworker
Mikail Zaslavskiy
****@owkin.com
2017 – 2020
Postdoc Advisor
Marc Lelarge
****@ens.fr
2016 – 2017
Postdoc Advisor
Moez Draief
****@huawei.com
2016 – 2017
Coworker
Andre Manoel
****@gmail.com
2013 – 2017
Postdoc Advisor
Florent Krzakala
****@ens.fr
2013 – 2016
Postdoc Advisor
Lenka Zdeborová
****@gmail.com
2013 – 2016
PhD Advisor
James Fowler
****@ece.msstate.edu
2007 – 2012
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
2018 – Present
Distributed Learning Systems
2017 – Present
Federated Learning
2017 – Present
Privacy Preserving Machine Learning
2017 – Present
Machine Learning
2014 – Present
Restricted Boltzmann Machines
2014 – Present
Unsupervised Learning
2014 – Present
Streaming Inference
2014 – Present
Statistical Inference
2013 – Present
Statistical Physics
2013 – Present
Variational Inference
2013 – Present
Spin Glasses
2013 – Present
Disordered Systems
2013 – Present
Approximate Message Passing
2012 – Present
Feature Selection
2011 – Present
MRI Reconstruction
2010 – Present
Tomographic Reconstruction
2009 – Present
Compressed Sensing
2008 – Present
Multiview Imaging
2010 – 2012
Geospatial Imaging
2009 – 2012