Current Tenure-Track Faculty

Yu Cheng

Yu Cheng is broadly interested in theoretical computer science. His main research interests lie in the area of machine learning, game theory, and optimization. Recently, his work focuses on addressing the challenges that arise in the interactions between machine learning systems and strategic agents, and to design scalable and provably robust learning algorithms. Specific recent projects include high-dimensional robust statistics, strategic aspects of machine learning, mechanism design and information structure design, algorithmic fairness, non-convex optimization, and spectral graph theory.

Vishesh Jain (starting Fall 2022)

Vishesh Jain is broadly interested in probability, combinatorics, and theoretical computer science. His work often involves techniques from high-dimensional probability. Specific recent projects include work on universality in random matrix theory, algorithmic applications of Markov chains, regularization phenomena in numerical analysis, and the mean-field approximation in statistical physics.

Marcus Michelen (starting Fall 2021)

Marcus Michelen works in probability, combinatorics and classical analysis. Much of his work involves using complex- and Fourier-analytic techniques in discrete settings. Specific recent projects include random algebraic structures such as matrices, polynomials and partitions; the relationship between zero-free regions and probability theory; and Gibbs point processes.

Dhruv Mubayi

Dhruv Mubayi works primarily on extremal and structural questions on graphs and hypergraphs, with applications to computer science. Much of his work involves the use of probabilistic and algebraic methods. His focus in the past five years lies in Turan and Ramsey type questions, particularly on hypergraphs. Specific recent projects include: the forbidden intersection problem in extremal set theory, the supersaturation phenomenon in extremal graph and hypergraph theory, extending the spectral theory of quasirandom graphs to hypergraphs, and using semi-random, or nibble methods in hypergraph coloring.

Will Perkins

Will Perkins works in computer science, probability theory, and combinatorics, on topics related to the interplay between randomness and computation. His work involves random graphs, random computational problems, and models and techniques from statistical physics. Specific recent projects include work on the cavity method for the stochastic block model, sphere packings in high dimensions, extremal problems for sparse graphs, and threshold phenomena in random geometric graphs.

Lev Reyzin

Lev Reyzin's work focuses on foundational questions in computational and statistical learning theory, but he is more broadly interested a variety of topics, ranging from practical issues in machine learning to theoretical computer science. His research also intersects with various areas of combinatorics and optimization. Specific recent projects include work on adaptive data analysis, noise-tolerant algorithms, active and interactive learning, network optimization, boosting and ensemble methods, and multiarmed bandits.

György Turán

Gyorgy Turan works in theoretical computer science, artificial intelligence and related areas in discrete mathematics and logic. Recently he worked on combinatorial, probabilistic, algorithmic and belief revision aspects of propositional Horn formulas, and on experimental aspects of commonsense reasoning. In the past he also worked on complexity theory (circuit complexity, decision trees, proof complexity) and computational learning theory (query learning, theory revision, learnability in logic).

Jan Verschelde

Jan Verschelde's research interests are mainly computational algebraic geometry, with a focus on numerical and symbolic methods to solve polynomial systems. He is also interested in mathematical software, parallel algorithms, and supercomputing.

Faculty Emeriti

NameResearch interests
Shmuel Friedland tensors and applications, matrices, quantum information, mathematical biology, dynamical systems
Floyd B. Hanson computational stochastic control, computational finance, computational biomedicine, stochastic manufacturing systems, scientific supercomputing, stochastic bioeconomics, asymptotics, industrial mathematics, numerical analysis
Glenn K. Manacher computer algorithms, computer language design

Current and Former Postdocs

NameYears at UICPresent position
Aditya Potukuchi 2020 -
Marcus Michelen 2019 - 2021 Assistant Professor at UIC
Liana Yepremyan 2019 - 2021 Assistant Professor at Emory
Li Wang2015 - 2017 Assistant Professor at UT Arlington
John Lenz 2011 - 2016 Consultant at CMS Research
Sonja Petrović 2008 - 2011 Associate Professor at IIT
Vladimir Trifonov 2007 - 2008 Principal Scientist at Janssen
Amitava Bhattacharya 2005 - 2008 Fellow at the Tata Institute
Anton Leykin 2003 - 2006 Professor at Georgia Tech
Yi Zhao 2002 - 2005 Professor at Georgia State
Keith Mellinger 2001 - 2004 Professor and Dean at University of Mary Washington
Jennifer Wagner 2000 - 2003 Professor at Washburn University

Former Faculty

NameYears at UICPresent position
Martin Grohe 2000 - 2001 Professor at RWTH Aachen
Robert Grossman 1988 - 2010 Professor at the University of Chicago
Richard Larson1967 - 2006deceased
Jeffrey Leon 1971 - 2008 deceased
Wolfgang Maass 1982 - 1993 Professor at Technische Universität Graz
Uri Peled 1984 - 2009 deceased
Vera Pless 1975 - 2006 deceased
Andrew Suk 2014 - 2017 Associate Professor at UC San Diego
Jeremy Teitelbaum 1990 - 2008 Professor at the University of Connecticut