People

Faculty Anindya De Boolean function analysis, Computational Complexity, Learning Theory Brett Hemenway Falk Cryptography, Coding Theory, Security Surbhi Goel Machine Learning, Learning Theory Sampath Kannan Algorithms for Big Data, Algorithmic Fairness, Computational Biology, Program Checking Michael Kearns Algorithmic Fairness, Algorithmic Game Theory, Machine Learning Sanjeev Khanna Approximation Algorithms, Combinatorial Optimization, Sublinear Algorithms Tal Rabin Blockchains, Cryptography, Secure Multiparty Computation Aaron Roth Algorithmic Fairness, Differential Privacy, Machine Learning Rakesh Vohra Mechanism Design, Auction Theory, Pricing Theory, Machine Learning Erik Waingarten Algorithms for Massive Datasets, Property Testing, Distribution Testing Postdocs Yahav Bechavod PhD Students Eshwar Ram Arunachaleshwaran Yiqiao Bao Anubhav Baweja David L Cao Natalie Collina Ezra Edelman Ira Globus-Harris Varun Gupta Nicolas Menand Georgy Noarov Ashwin Padaki Ramya Ramalingam Sikata Sengupta Mirah Shi Krish Singal Junkai Song Nathan White Tian Zhang