Nitin Kohli

PhD Student
Alumni (MIDS 2015)


Topics: privacy, security, fairness; Tools: game theory and mechanism design, cryptography, statistics and machine learning, law and policy


Data Science
Information Policy


Nitin researches topics that span privacy, security, and fairness. Utilizing techniques from game theory, mechanism design, cryptography, statistics, and machine learning, Nitin develops theory and tools that safeguard information by constructing statistical techniques, computational methods, and mechanisms with provable guarantees over the outcomes of their use.

Prior to his PhD, Nitin worked as an adjunct instructor and lecturer at UC Berkeley, teaching both introductory and advanced courses in elementary mathematics, probability, statistics, and game theory. In 2019, Nitin was awarded both the Outstanding Graduate Student Instructor Award and the Teaching Effectiveness Award for his work in Info 188 (Behind the Data: Humans and Values) under Professor Deirdre Mulligan. 

Last updated:

July 12, 2020