Rebecca Willett

University of Chicago

Names

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

Rebecca Willett (Preferred)
,
Rebecca M. Willett

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.

****@uchicago.edu
,
****@discovery.wisc.edu

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.

Full Professor
University of Chicago (uchicago.edu)
20182020
 
Associate Professor
University of Wisconsin, Madison (wisc.edu)
20132018
 
Associate Professor
Duke University, Duke University (ece.duke.edu)
20122013
 
Assistant Professor
Duke University, Duke University (ece.duke.edu)
20052012
 
PhD student
Rice University (rice.edu)
20002005
 

Advisors, Relations & Conflicts

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

Coauthor
Nati Srebro
****@ttic.edu
20192020
 
Coauthor
Greg Shakhnarovich
****@ttic.edu
20192020
 
Postdoc Advisor
Greg Ongie
****@gmail.com
20182020
 
Postdoc Advisor
Daren Wang
****@uchicago.edu
20182020
 
Coauthor
Richard Baraniuk
****@rice.edu
20052020
 
Coauthor
Robert Nowak
****@wisc.edu
20032019
 
Postdoc Advisee
Kwang Sung Jun
****@cs.arizona.edu
20152017
 
Postdoc Advisee
Laura Balzano
****@umich.edu
20122013
 
Postdoc Advisor
Yao Xie
****@isye.gatech.edu
20112013
 
Postdoc Advisee
Maxim Raginsky
****@illinois.edu
20072009
 

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

machine learning foundations
20052020
 
dynamical models
20052020
 
statistical inference
20052020