Faculty

• 
  James Abello
  external memory algorithms, data graph mining
• 
  Sepehr Assadi
  (on leave), graph streaming algorithms, sublinear algorithms, communication complexity, algorithmic game theory
• 
  Aaron Bernstein
  dynamic graph algorithms, graph algorithms, sublinear algorithms
• 
  Arpita Biswas
  algorithmic game theory, optimization, machine learning
• 
  Xiong Fan
  cryptography, formal verification, hardware acceleration
• 
  Jie Gao
  algorithms, wireless networks, social networks, computational geometry
• 
  Sumegha Garg
  complexity theory, algorithmic fairness, information theory
• 
  Karthik C. S.
  complexity theory, hardness of approximation, fine-grained complexity, hardness of geometric problems
• 
  Roie Levin
  online algorithms, approximation algorithms, submodular optimization
• 
  David Pennock
  economics and computation, artificial intelligence, prediction markets, machine learning
• 
  Michael Saks
  complexity theory, data structure lower bounds, online algorithms, derandomization, sublinear algorithms, satisfiability algorithms
• 
  Mario Szegedy
  complexity theory, combinatorics, combinatorial geometry, quantum computing
• 
  Peng Zhang
  algorithms, structured numerical problems, data science

Emeritus Faculty

• 
  Michael Fredman
• 
  William Steiger
• 
  Endre Szemerédi
• 
  Eric Allender

Affiliated Faculty

• 
  Farid Alizadeh
  semidefinite programming, second order cone programming, sum-of-square optimization
• 
  József Beck
  diophantine approximation, probabilistic methods, combinatorial games, combinatorial geometry
• 
  Shahrzad Haddadan
  markov chain, mcmc methods, social networks
• 
  Jeffry Kahn
  graph theory, probabalistic methods
• 
  János Komlós
  probabilistic methods, discrete mathematics
• 
  Bhargav Narayanan
  combinatorics, probability theory, statistical physics, theoretical computer science
• 
  Periklis Papakonstantinou
  cryptography, maching learning, big data
• 
  Jalaj Upadhyay
  privacy preserving data analysis, randomized numerical linear algebra
• 
  Guanyang Wang
  mcmc methods, bayesian statistics, statistical machine learning

Postdocs

• 
  Xin Cheng
• 
  Prantar Ghosh
• 
  Siqi Liu
• 
  Dan Schoepflin
• 
  Zihan Tan

Students

• 
  Vikrant Ashvinkumar
• 
  Ziyi Cai
• 
  Qing Chen
• 
  Chengyuan Deng
• 
  Prathamesh Dharangutte
• 
  Rashmika Goswami
• 
  Songhua He
• 
  Mursalin Habib
• 
  Jing Jia
• 
  Zach Langley
• 
  Adarsh Srinivasan
• 
  Chen Wang
• 
  Haoyang Zhang

Emeritus Students

• 
  Hanna Komlos
• 
  Parth Mittal
• 
  Vihan Shah
• 
  Janani Sundaresan

Recent Alumni

• Surya Teja Gavva, graduated 2023; now a lecturer at CUNY.
• Harsha Tirumala, graduated 2023; now at Shadow.
• Guido Tagliavini, graduated 2023; now at Shadow.
• Aditi Dudeja, graduated 2023; now A postdoctoral researcher at University of Salzburg.
• Vishvajeet N, graduated 2022; now a postdoctoral researcher at University of Edinburgh.
• Vishwas Bhargava, graduated 2022; now a postdoctoral researcher at University of Waterloo.
• Haotian Wang, graduated 2022; now an AI Research Scientist at JD.com.
• Cong Zhang, graduated 2020; now an assistant professor at Zhejiang University.
• Justin Semonsen, graduated 2020; now at Qualcomm.
• Alex Conway, graduated 2020; now an assistant professor at Cornell Tech.
• Aditya Potukuchi, graduated 2020; now an assistant professor at York University.
• Abhishek Bhrushundi, graduated 2020; now an AI Research Scientist at Bloomberg.
• Sijian Tang, graduated 2019.
• Cole Franks, graduated 2019; now a software engineer at Gridspace.
• Fatma Durak, graduated 2017; now senior researcher at Microsoft.
• Charles Wolf, graduated 2017; now a staff scientist at SciTec.
• Meng-Tsung Tsai, graduated 2017; now an assistant professor at National Chiao Tung University.
• Neil Lutz, graduated 2017; now a visiting professor at Swarthmore University.
• Ben Lund, graduated 2017; now a senior researcher at the Institute for Basic Science (Korea).
• Mrinal Kumar, graduated 2017; now a faculty member at TIFR.
• Erick Chastain, graduated 2017; now an assistant professor at University of Dallas.
• Amey Bhangale, graduated 2017; now an assistant professor at UC Riverside.
• Ross Berkowitz, graduated 2017; now a Gibbs Assistant Professor at Yale University.
• Abdul Basit, graduated 2017; now a research fellow at Monash University.
• Timothy Naumovitz, graduated 2016; now at Google.
• John Kim, graduated 2016; now at Virtu Financial.
• Brian Garnett, graduated 2016; now a lecturer at Washington University.
• Justin Gilmer, graduated 2015; now a research scientist at Google Brain.
• Yixin Xu, graduated 2015; now Anker Innovations at Anker Innovations.
• Mudassir Shabbir, graduated 2014; now an research assistant professor at Vanderbilt University.
• Aleksandar Nikolov, graduated 2014; now an associate professor at University of Toronto.