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  • Programs
    • Long Programs
    • Workshops
    • Special Events and Conferences
    • Student Research Programs
    • Summer Schools
    • PUMA
    • Public Lectures
    • Green Family Lecture Series
    • Special Projects
    • Propose a program
  • Donate
  • Videos
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    • Research Articles
    • Reports and Whitepapers
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    • Press Releases
    • IPAM Newsletter
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    • Board of Trustees
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    • Associate Director Search
  • Your Visit
    • Community Agreement
    • Policies
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    • Hotels
    • Housing Resources
    • Resident’s Guide
    • Transportation
    • Technology
    • Child Care Resources
  • About IPAM
    • Today at IPAM
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    • A Welcoming Environment for All
    • NSF and Other IPAM Funding
  • Contact Us

Past Programs

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Asymptotic Algebraic Combinatorics

February 3 - 7, 2020 Program Category: Workshops

Green Family Lecture Series: “Computational Genomic Approaches to the Understanding and Treatment of Cancer” by Jill P. Mesirov

January 28, 2020 Program Category: Public Lectures

Green Family Lecture Series: “Can We Use Genomics to Better Understand and Treat Cancer?” by Jill P. Mesirov

January 27, 2020 Program Category: Public Lectures

Deep Learning and Medical Applications

January 27 - 31, 2020 Program Category: Workshops

Emerging Opportunities for Mathematics in the Microbiome

January 23 - 24, 2020 Program Category: Workshops

Theory and Computation for 2D Materials

January 13 - 17, 2020 Program Category: Workshops

Workshop IV: Using Physical Insights for Machine Learning

November 18 - 22, 2019 Part of the Long Program: Machine Learning for Physics and the Physics of Learning

Deep Fakery: Mathematical, Cryptographic, Social, and Legal Perspectives

November 15 - 16, 2019 Program Category: Workshops

Modern Math Workshop (organized by MSRI)

October 30 - 31, 2019 Program Category: Special Events and Conferences

Workshop III: Validation and Guarantees in Learning Physical Models: from Patterns to Governing Equations to Laws of Nature

October 28 - November 1, 2019 Part of the Long Program: Machine Learning for Physics and the Physics of Learning
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Past Programs

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From our Participants

“

I try to send as many of my graduate students to IPAM as possible, because the networking and interdisciplinary discussions at IPAM helped me to kick-start my career and will hopefully also be of similar usefulness to my students.

”
Ralf Drautz,

Chair of Atomistic Modelling and Simulation, ICAMS

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