Computation, Combinatorics & Choice

The Computation, Combinatorics, and Choice (CCC) group at the University of Rochester brings together researchers who work on the theoretical foundations of algorithms and complexity, discrete mathematics, and the mathematics of strategic interaction and collective decision-making.

Talks & Events

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Faculty

Economic theory, game theory
Game theory, political economy, social choice theory
Game theory, equilibrium computation, fixed-point methods
Complexity theory, computational social choice
Additive combinatorics, pseudorandomness, complexity
Harmonic analysis, combinatorics
Computational social choice, algorithmic game theory
Social choice, equilibrium computation, political economy
Optimization, sampling algorithms
Random tilings, asymptotic combinatorics, random matrices
Algebraic topology, combinatorics
Monika Polak (teaching)
Cryptography, pseudorandomness, algebraic graph theory
Counting, sampling, graph algorithms
Queueing theory, game theory, mechanism design
Complexity, algorithms, automata
Markov chains, counting, learning theory, combinatorics
Game theory, fair division, mechanism design
Information theory, learning theory
Eustrat Zhupa (teaching)
Algorithms, cryptography, theoretical computer science

Postdocs & Visiting Faculty

Postdoctoral Associate (Computer Science); optimization and sampling
Visiting Assistant Professor (Math); spectral and algebraic graph theory
DD
Dheer Noal Desai
Visiting Assistant Professor (Math); spectral and algebraic graph theory
Visiting Assistant Professor (Math)

Graduate Students

Will Burstein
Mathematics · combinatorics
Matthew X. Burns
ECE · optimization
Computer Science · choice
Shantanu Deodhar
Mathematics · analysis
Computer Science · complexity
JH
Jiwoo Hyun
Computer Science/ECE · optimization
Computer Science · choice
Computer Science · fairness
Haoyuan Tian
Mathematics · analysis
Computer Science · learning theory
Ella Yu
Mathematics · combinatorics