Berk Ustun

University of California, San Diego

Names

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

Berk Ustun (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.

****@mit.edu
,
****@seas.harvard.edu
,
****@ucsd.edu
,
****@gmail.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.

Assistant Professor
University of California, San Diego (ucsd.edu)
2021Present
 
Associate
School of Engineering and Applied Sciences, Harvard University (seas.harvard.edu)
2021Present
 
Researcher
Google (google.com)
20202021
 
Postdoc
School of Engineering and Applied Sciences, Harvard University (seas.harvard.edu)
20172020
 
PhD student
Massachusetts Institute of Technology (mit.edu)
20122017
 
MS student
Massachusetts Institute of Technology (mit.edu)
20102012
 
Undergrad student
University of California Berkeley (berkeley.edu)
20052009
 

Advisors, Relations & Conflicts

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

Coauthor
Elena Glassman
****@g.harvard.edu
2019Present
 
Postdoc Advisor
David Parkes
****@eecs.harvard.edu
2017Present
 
Postdoc Advisor
Margo Seltzer
****@cs.ubc.ca
2017Present
 
Coauthor
Flavio du Pin Calmon
****@fas.harvard.edu
2017Present
 
PhD Advisor
Cynthia Rudin
****@cs.duke.edu
2012Present
 
Coauthor
Katherine Heller
****@google.com
20202021
 

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

personalization
2020Present
 
algorithmic recourse
2018Present
 
algorithmic fairness
2015Present
 
machine learning
2012Present
 
interpretability
2012Present
 
classification
2012Present
 
discrete optimization
2012Present
 
healthcare
2012Present