This is the homepage of the Theory Group in the EECS Department at the University of California, Berkeley.

Berkeley is one of the cradles of modern theoretical computer science. Over the last thirty years, our graduate students and, sometimes, their advisors have done foundational work on NP-completeness, cryptography, derandomization, probabilistically checkable proofs, quantum computing, and algorithmic game theory. The mild weather, celebrated eateries (see here, here, and here), and collaborative atmosphere are known to be conducive to great theory-building and problem-solving.

In addition, Berkeley's Simons Institute for the Theory of Computing regularly brings together theory-oriented researchers from all over the world to collaboratively work on hard problems. The institute organizes a sequence of programs based on topics (see current & future programs and past ones), supported by workshops (see current & future workshops and past ones) and other events.

On Wednesdays, our group comes together for Theory Lunch, an event featuring an informal lunch followed by a whiteboard presentation; this allows for much mingling, including with our friends from Statistics and Math (and, occasionally, Physics and Chemistry). On Fridays, TGIF, the informal student seminar that is off-limits to faculty, provides a comfortable space for students to learn about each other's work.

Some of our current focus is on using computation as a lens to the sciences. Like probabilistic thinking in the last century, computational thinking will give mathematics and, more generally, science a new language to use and the ability to formulate new fundamental questions. We are studying the applications of theoretical computer science in many sciences, including economics (with our work on computational game theory and mechanism design), physics (with our work on random structures and quantum computing), biology, and pure mathematics (especially geometry, functional analysis, and additive number theory). The core problems in algorithms, compexity theory, and cryptography remain, of course, dear to our hearts.

If you would like to join Berkeley's EECS Department as a graduate student, apply to our Ph.D. program.

- Theory Lunch on Wednesdays, 12:00-13:00, Wozniak Lounge
- Theory Seminar on (most) Mondays, 16:00-17:00, Wozniak Lounge
- TGIF on Fridays, 15:30-17:00, Theory Lounge

- CS 170: Efficient Algorithms and Intractable Problems
- CS 172: Computability and Complexity
- CS 174: Combinatorics and Discrete Probability
- CS 191: Qubits, Quantum Mechanics, and Computers

- CS 270: Combinatorial Algorithms and Data Structures
- CS 271: Randomness and Computation
- CS 273: Foundations of Parallel and Distributed Systems
- CS 274: Computational Geometry
- CS 276: Cryptography
- CS 278: Computational Complexity
- CS 281B: Statistical Learning Theory
- CS 294: Beyond Worst Case Analysis
- CS 294: Graph Partitioning, Expanders and Spectral Methods
- CS 294: Property Testing
- CS 294: Sum of Squares: Proofs and Algorithms
- CS 294: Evolution and Computation
- CS 294: Markov Chain Monte Carlo
- CS 294: Recent Advances in Approximability
- CS 294: Mesh Generation and Geometry Processing in Graphics, Engineering, and Modeling
- CS 294: Law and Cryptography
- CS 294: Probabilistically Checkable and Interactive Proof Systems
- CS 294: Coding Theory
- CS 294: PCP and Hardness of Approximation
- CS 294: Pseudorandomness
- CS 294: Advanced Cryptography
- CS 294: Coding Theory and Complexity
- CS 294: Fourier Transforms and Theoretical Computer Science
- CS 294: Current Topics in Computational Biology
- CS 294: Special Topic in Cryptography: Secure Computation
- CS 294: Theoretical Computer Science’s Greatest Hits
- CS 294: Great Algorithms
- CS 294-063: Social Choice and Networks
- CS 294-2: Quantum Computation
- CS 294-92: Analysis of Boolean Functions
- CS 294-P29: Seminar on Algorithmic Game Theory
- CS 298: Reading the Classics
- Stat 206A: Polynomials of Random Variables
- Stat 260: Stochastic Processes in Evolutionary Biology

The timetable for this semester's CS courses is here, and next semester's is here.

- Alessandro Chiesa
- Sanjam Garg
- Shafi Goldwasser
- Richard Karp
- Prasad Raghavendra
- Satish Rao
- Jonathan Shewchuk
- Alistair Sinclair
- Yun Song
- Bernd Sturmfels
- Luca Trevisan
- Umesh Vazirani

- Adam Bouland
- Sarah Cannon
- Tom Gur
- Mohammad Hajiabadi
- Sam Hopkins
- Urmila Mahadev
- Reza Moazezzi
- Jonah Sherman
- Prashant Vasudevan

- N/A

- Frank Ban
- Lynn Chua
- Grace Dinh
- Arun Ganesh
- Fotis Iliopoulos
- Tarun Kathuria
- Marc Khoury
- Seri Khoury
- Rachel Lawrence
- Jingcheng Liu
- Siqi Liu
- Pasin Manurangsi
- Peihan Miao
- Jarrod Millman
- Sidhanth Mohanty
- Chinmay Nirkhe
- Manuel Sabin
- Aaron Schild
- Jonathan Shafer
- Nick Spooner
- Jalex Stark
- Akshayaram Srinivasan
- Sam Wong
- Elizabeth Yang
- Morris Yau
- Qiuyi Zhang

- Nima Anari
- Antonio Blanca
- Tobias Boelter
- Ma'ayan Bresler
- Brielin Brown
- Jonah Brown-Cohen
- Siu Man Chan
- Siu On Chan
- Paul Christiano
- James Cook
- Anindya De
- Rafael Frongillo
- Luqman Hodgkinson
- Varun Kanade
- George Pierrakos
- Anupam Prakash
- Christos-Alexandros Psomas
- Aviad Rubinstein
- Tselil Schramm
- Jarett Schwartz
- Sara Sheehan
- Seung Woo Shin
- Piyush Srivastava
- Isabelle Stanton
- Ning Tan
- Di Wang
- Guoming Wang
- Tom Watson
- Benjamin Weitz
- Chris Wilkens