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 with mathematically provable guarantees over the outcomes of their use.
Prior to his PhD, Nitin worked as a data scientist in industry, as well as an adjunct instructor and lead instructor / 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.
Nitin holds a master's degree in information and data science from UC Berkeley's School of Information. Nitin also holds a bachelor's degree in mathematics and statistics from UC Berkeley, where he received departmental honors in statistics.