Graduate Students

Naman Agarwal
Optimization
Machine Learning
Privacy

Brian Bullins
Optimization
Machine Learning

Sumegha Garg
Complexity theory
Information theory
Quantum computation

Sivakanth Gopi
Coding Theory
Pseudorandomness
Complexity Theory

Wei Hu
Machine Learning
Optimization
Algorithms

Holden Lee
Machine Learning
Probability
NLP

Zhiyuan Li
Machine Learning
Optimization
Algorithms

Qipeng Liu
Cryptography
Information theory

Fermi Ma
Program Obfuscation


Jieming Mao
Algorithmic game theory
Communication complexity
Information theory

Seyed Sobhan Mir Yoosefi
Algorithms & Data Structures
Approximation/Randomized Algorithms
Machine Learning

Divyarthi Mohan
Algorithms
Complexity theory
Algorithmic game theory

Orestis Plevrakis
Machine Learning
Optimization
Algorithms

Vidhya Ramaswamy
Complexity Theory
Pseudorandomness

Jon Schneider
Algorithmic game theory
Information theory
Dynamical systems

Ariel Schvartzman
Algorithmic game theory
Mechanism Design

Karan Singh
Reinforcement Learning
Online Learning
Privacy and Fairness in ML

Matheus Venturyne
Algorithmic Game Theory
Cryptography
Algorithms

Yi Zhang
Machine Learning
Optimization

Masters Students

Mikhail Khodak
Machine Learning
Computational Linguistics
Computational Economics

Nikunj Saunshi
Machine Learning
NLP