Berk Ustun (Preferred)
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.
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
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.
Assistant Professor
University of California, San Diego (ucsd.edu)
2021 – Present
Associate
School of Engineering and Applied Sciences, Harvard University (seas.harvard.edu)
2021 – Present
Researcher
Google (google.com)
2020 – 2021
Postdoc
School of Engineering and Applied Sciences, Harvard University (seas.harvard.edu)
2017 – 2020
PhD student
Massachusetts Institute of Technology (mit.edu)
2012 – 2017
MS student
Massachusetts Institute of Technology (mit.edu)
2010 – 2012
Undergrad student
University of California Berkeley (berkeley.edu)
2005 – 2009
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
2019 – Present
Postdoc Advisor
David Parkes
****@eecs.harvard.edu
2017 – Present
Postdoc Advisor
Margo Seltzer
****@cs.ubc.ca
2017 – Present
Coauthor
Flavio du Pin Calmon
****@fas.harvard.edu
2017 – Present
PhD Advisor
Cynthia Rudin
****@cs.duke.edu
2012 – Present
Coauthor
Katherine Heller
****@google.com
2020 – 2021
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
2020 – Present
algorithmic recourse
2017 – Present
algorithmic fairness
2015 – Present
machine learning
2012 – Present
interpretability
2012 – Present
classification
2012 – Present
discrete optimization
2012 – Present
healthcare
2012 – Present