Jonathan Ullman

Research interests

• Privacy
• Machine learning and statistics
• Cryptography
• Algorithms

Education

• PhD in Computer Science, Harvard University
• BSE in Computer Science, Princeton University

Biography

Jonathan Ullman is an associate professor in the Khoury College of Computer Sciences at Northeastern University, based in Boston.

Ullman's research centers on the foundations of privacy for machine learning and statistics, namely differential privacy and its surprising interplay with topics such as statistical validity, robustness, cryptography, and fairness. His background is in theoretical computer science, but his work spans algorithms, cryptography, machine learning, statistics, and security. His area of teaching includes algorithms and privacy for machine learning, and he is a member of the Theory Group, the Cybersecurity and Privacy Institute, and the Institute for Experiential AI.

Ullman has been recognized with an NSF CAREER award and the Ruth and Joel Spira Outstanding Teacher Award.

Recent publications