Jonathan Ullman
Scholar

Jonathan Ullman

Google Scholar ID: WfS41RAAAAAJ
Associate Professor of Computer Science, Northeastern University
Differential PrivacyMachine Learning TheoryCryptography
Citations & Impact
All-time
Citations
5,043
 
H-index
38
 
i10-index
61
 
Publications
20
 
Co-authors
102
list available
Resume (English only)
Academic Achievements
  • Recipient of NSF CAREER award and Ruth and Joel Spira Outstanding Teaching Award; PC co-chair for ALT 2026; Joined the editorial board of the Journal of Privacy and Confidentiality; Appointed to the Census Scientific Advisory Committee (CSAC); Published multiple papers on membership-inference attacks, private personalized learning, etc.
Research Experience
  • Associate Professor at Khoury College of Computer Sciences, Northeastern University; Member of the Theory Group, Cryptography and Privacy Group, and Cybersecurity & Privacy Institute; Member of the Boston-Area Data Privacy Group.
Background
  • Research interests: Foundations of privacy for machine learning and statistics, particularly differential privacy and its interplay with other topics such as statistical validity, robustness, cryptography, and fairness. Background: Theoretical computer science, increasingly spanning machine learning, statistics, cryptography, and cybersecurity.
Miscellany
  • Planning to actively admit and recruit PhD students and postdocs for Fall 2026; Teaching CS 7800: Advanced Algorithms; Working with an amazing group of students and postdocs, some of whom have successfully graduated and taken up positions in other institutions.