Computational complexity, proof complexity, and satisfiability

Quantum computation and cryptography

Algorithms and algorithmic game theory

Algorithms, complexity, optimization, probability

Convex optimization, algorithms

Cryptography, security, complexity theory

Machine learning, algorithmic game theory

Algorithms, spectral graph theory, applied probability

Complexity theory, communication complexity, information theory

Discrete optimization and linear/integer programming

Cryptography, security, complexity theory, information theory

Graph algorithms

Machine learning, optimization, algorithms.

Machine learning, combinatorial statistics, stochastic and convex optimization.

Fundamental algorithms and algorithmic game theory.

Machine learning

Mathematical optimization, data analysis, and control theory.

Developing new insights on commerce from a foundational perspective.

Optimization, experimental design, machine learning

Information theory and computational biology.

quantum algorithms and complexity theory

Algorithms

Machine learning, security, and privacy

Algorithms for geometrically structured data.

Optimization and computational algebra

Error correcting codes, complexity theory, combinatorics

Cryptography

Algorithms, spectral graph theory

Machine learning, active learning

Cryptography, security

Algorithms, combinatorics

Algorithms, spectral graph theory

Cryptography, security, complexity theory

Algorithms and complexity theory

Information theory, combinatorics

Optimization, algorithms, convex geometry

Approximation algorithms, combinatorics

Stochastic optimization, algorithms

Algorithms, Markov chains, high-dimensional geometry

Cryptography, complexity theory

Convex optimization

Combinatorial and convex optimization

Algorithms, optimization

Cryptography

Complexity theory

Quantum computing, complexity, algorithms

Combinatorics, algorithms, quantum computing

Cryptography

Boolean function analysis, property testing, complexity

Cryptography, complexity theory

Approximation algorithms, geometry of polynomials

Algorithms, spectral graph theory, optimization

Approximation algorithms, probabilistic combinatorics

Mechanism design, approximation algorithms, algorithmic game theory

Algorithms, Linear and Integer Programming

Cryptography, security

Machine learning

Complexity, probability, quantum computing

Complexity theory, communication complexity

Complexity theory, communication complexity, and analysis of Boolean functions

Approximation algorithms, spectral graph theory

Computational complexity

Algorithms, spectral graph theory, optimization

Communication complexity, circuit lower bounds, applications of information theory

Algorithms, big data processing

Graph algorithms

Complexity, hardness reductions, impossbility results

**
SP
23**
Randomized algorithms
(S. Oveis Gharan)

**
WI
23**
Analytic and geometric methods in TCS
(J. R. Lee)

**
WI
23**
Lattices
(Rothvoss)

**
AU
22**
Intro to Quantum Computing
(J. R. Lee)

**Rachel Lin** named one of the “10 Scientists to Watch” by Science News.

**Shayan Oveis Gharan** is named a Simons Investigator.

**Shayan Oveis Gharan** wins 2021 Presburger Award for Young Scientists from EATCS for his research on TSP.

**Paul Beame** is recognized with an ACM SIGACT Distinguished Service Award.

**Anna Karlin** and collaborators win the ACM Paris Kanellakis Theory and Practice Award for
their work on the power of two choices.

**Anna Karlin** is elected to the National Academy of Sciences.

**Anna Karlin**, **Nathan Klein**, and **Shayan Oveis Gharan** win a best paper award at STOC 2021 for
their work A (Slightly) Improved Approximation Algorithm for Metric TSP.

**Rachel Lin** and coauthors achieve `Crown Jewel’ of Cryptography for
their work on Indistinguishability Obfuscation from Well-Founded Assumptions,
and receive a best paper award at STOC 2021.

**Haotian Jiang** wins a best student paper award at SODA 2021 for
his work on minimizing convex functions with integral minimizers.

**Yin Tat Lee** is named a Packard Fellow.

**Anup Rao** and Amir Yehudayoff publish Communication Complexity and Applications, a modern take on
this foundational topic.

**Kuikui Liu**, **Shayan Oveis Gharan** and coauthors win a best paper award at STOC 2019 for
their work on counting bases of matroids.

**Shayan Oveis Gharan** is named a 2019 Sloan Research Fellow.

**Yin Tat Lee** and coauthors win a best paper award at NeurIPS 2018 for
their work on algorithms for distributed optimization.

**Ewin Tang** is one of the Forbes 30-under-30 in Science.

**Yin Tat Lee** wins the A. W. Tucker Prize for his thesis Faster Algorithms for Convex and Combinatorial Optimization.

**Thomas Rothvoss** wins the Fulkerson Prize for
his work on the perfect matching polytope.

**Yin Tat Lee** wins an NSF CAREER Award.

**James R. Lee** is named a Simons Investigator.

**Shayan Oveis Gharan** is named an ONR Young Investigator.

**Kira Goldner** is named a Microsoft Research PhD Fellow.

The students of the UW theory group had an impressive presence at SODA 2017.
**Becca Hoberg** and **Thomas Rothvoss** demonstrate A Logarithmic Additive Integrality
Gap for Bin Packing; **Cyrus Rashtchian** and **Paul Beame** prove new results on
Massively Parallel Similarity Join, Edge-Isoperimetry, and Distance
Correlations on the Hypercube; **Alireza Rezaei** and **Shayan Oveis Gharan** develop
new Approximation Algorithms for Finding Maximum Induced Expanders.

**Thomas Rothvoss** is named a Packard Fellow.

**Shayan Oveis Gharan** named one of the “10 Scientists to Watch” by Science News.

**Anna Karlin** elected to the American Academy of Arts & Sciences.

Amos Fiat, **Kira Goldner**, **Anna Karlin**, and Elias Koutsoupias characterize the optimal auction in the “FedEx setting”, further demonstrating the importance of “ironing” and LP duality in mechanism design.

**Alireza Rezaei**, **Shayan**, and Nima Anari design efficient MCMC algorithms for sampling from homogeneous strongly Rayleigh measures, a generalization of k-determinantal point processes.

**Anup Rao** wins the 2016 *SIAM Outstanding Paper Prize* for his work with Boaz Barak, Mark Braverman and Xi Chen on how to compress interactive communication.

**Elaine Levey** and **Thomas** show how the Lasserre SDP hierarchy can be used to design
new approximation algorithms for the classical problem of min-makespan scheduling with precedence constraints.

Rong Ge, Qingqing Huang, and **Sham Kakade** design new efficient algorithms for learning mixtures of Gaussians in high dimensions.

**Makrand Sinha** and **Anup** discover a simpler proof that information complexity
is not the same as communication complexity.

**Siva Ramamoorthy** and **Anup** give new techniques to compress communication protocols when the amount of communication is asymmetric.

**James R. Lee**, Prasad Raghavendra, and David Steurer win a *best paper award* at STOC 2015 for proving the first super-polynomial
lower bounds on semidefinite extension complexity.

By proving a generalization of the Kadison-Singer conjecture,
**Shayan Oveis Gharan** and Nima Anari give an improved bound on the integrality gap of the classical Held-Karp relaxation for the Asymmetric Traveling Salesman Problem.

**Thomas Rothvoss** wins the *best paper award* at STOC 2014 for proving lower bounds
on the extension complexity of the matching polytope. Lance Fortnow calls it the “complexity
result of the year.”