Simons Institute for the Theory of Computing
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Support Research on the Foundations of Computing
Upcoming Events
Workshops & Symposia
Program
Modern Paradigms in Generalization
Program
Federated and Collaborative Learning
Speaker: Katrina Ligett (Hebrew University of Jerusalem)
News
Happy New Year from Berkeley, where the magnolias are already in bud and we have just welcomed the participants in our Spring 2026 research program on Federated and Collaborative Learning. In addition to the periodic workshops associated with the program, we also have upcoming workshops on various aspects at the nexus of theoretical computer science and machine learning, ranging from the deployment of ML models in social systems, healthcare, and deep learning theory to the impact of techniques developed in learning theory on the theory of computing.
Large language models (LLMs) gain their encyclopedic knowledge and conversational tact by learning from an entire...
The Simons Institute has received $250K in support from the Google DeepMind x Google.org AI for Math Initiative...
Current Programs
Organizers
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+3
John Duchi,
Nika Haghtalab
and 4 more
Research Pods
Researchers
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+7
Abhineet Agarwal,
Philip Amortila
and 8 more
Researchers
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+8
Anthony Chen,
Arjan Cornelissen
and 9 more
Researchers
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+1
Shafi Goldwasser,
Venkatesan Guruswami
and 2 more
Future Programs
Other Announcements
Healthy Community
We ask that visitors be vigilant in protecting the health of our community by staying home if they are feeling unwell and may have a communicable illness.
Based on public health regulations, the Simons Institute no longer requires masking or COVID-19 testing. For reference, see the CDC’s recommendations for reducing the spread of respiratory illnesses.
Participate
Applications are welcome for postdoctoral fellowships in the research pods on Quantum Computing and on Machine Learning, and are reviewed on a rolling basis.
Applications for Fall 2026 programmatic research fellowships are now closed.
Current and incoming UC Berkeley faculty interested in becoming faculty affiliates of the Simons Institute should write to simonsassociatedirector@berkeley.edu.
Learn more about how to participate in the life of the Institute.
Related Courses (Spring 2026)
Advanced Topics in Probability and Stochastic Processes (Intro to Integrable Probability) (Math C223B)
Vadim Gorin
Tues, 2 – 5 p.m.
Evans 340
Topics in Applied Mathematics (Quantum Algorithms for Scientific Computation) (Math 275)
Lin Lin
TuTh, 9:30 – 11 a.m.
Evans 748
Advanced Topics in Learning and Decision Making (CS 281B)
Jason Lee
Wed, 2 – 5 p.m.
Evans 344
Learning for Dynamics & Control (CS294)
Ben Recht
Mon, 1 – 4 p.m.
Soda 310
Data Science for Social Change (CS 294)
Emma Pierson
TuTh, 3:30 – 5 p.m.
Soda 405
Proving TCS and Math Theorems in Lean (CS 294)
Venkatesan Guruswami
Fri, 1 – 3 p.m.
Soda 320
Scalable AI: Bridging Theory, Understanding, and Practice (EE 194)
Anant Sahai, Jiantao Jiao
TuTh, 9:30 – 11 a.m.
Cory 521
Healthy Community
We ask that visitors be vigilant in protecting the health of our community by staying home if they are feeling unwell and may have a communicable illness.
Based on public health regulations, the Simons Institute no longer requires masking or COVID-19 testing. For reference, see the CDC’s recommendations for reducing the spread of respiratory illnesses.
Participate
Applications are welcome for postdoctoral fellowships in the research pods on Quantum Computing and on Machine Learning, and are reviewed on a rolling basis.
Applications for Fall 2026 programmatic research fellowships are now closed.
Current and incoming UC Berkeley faculty interested in becoming faculty affiliates of the Simons Institute should write to simonsassociatedirector@berkeley.edu.
Learn more about how to participate in the life of the Institute.
Related Courses (Spring 2026)
Advanced Topics in Probability and Stochastic Processes (Intro to Integrable Probability) (Math C223B)
Vadim Gorin
Tues, 2 – 5 p.m.
Evans 340
Topics in Applied Mathematics (Quantum Algorithms for Scientific Computation) (Math 275)
Lin Lin
TuTh, 9:30 – 11 a.m.
Evans 748
Advanced Topics in Learning and Decision Making (CS 281B)
Jason Lee
Wed, 2 – 5 p.m.
Evans 344
Learning for Dynamics & Control (CS294)
Ben Recht
Mon, 1 – 4 p.m.
Soda 310
Data Science for Social Change (CS 294)
Emma Pierson
TuTh, 3:30 – 5 p.m.
Soda 405
Proving TCS and Math Theorems in Lean (CS 294)
Venkatesan Guruswami
Fri, 1 – 3 p.m.
Soda 320
Scalable AI: Bridging Theory, Understanding, and Practice (EE 194)
Anant Sahai, Jiantao Jiao
TuTh, 9:30 – 11 a.m.
Cory 521