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IPAM NSF logo
  • 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
  • News
    • News
    • Research Articles
    • Reports and Whitepapers
    • Interviews
    • Press Releases
    • IPAM Newsletter
  • People
    • Directors
    • Staff
    • Science Advisory Board
    • Board of Trustees
    • Simons Participants
    • Associate Director Search
  • Your Visit
    • Community Agreement
    • Policies
    • Directions
    • Hotels
    • Housing Resources
    • Resident’s Guide
    • Transportation
    • Technology
    • Child Care Resources
  • About IPAM
    • Today at IPAM
    • About UCLA
    • A Welcoming Environment for All
    • NSF and Other IPAM Funding
  • Contact Us

Past Programs

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Beam Dynamics

January 23 - 27, 2017 Program Category: Workshops

Turbulent Dissipation, Mixing and Predictability

January 9 - 13, 2017 Program Category: Workshops

Workshop IV: Synergies between Machine Learning and Physical Models

December 5 - 8, 2016 Part of the Long Program: Understanding Many-Particle Systems with Machine Learning

Workshop III: Collective Variables in Quantum Mechanics

November 14 - 18, 2016 Part of the Long Program: Understanding Many-Particle Systems with Machine Learning

Blackwell-Tapia Conference and Awards Ceremony 2016 (sponsored by NIMBioS)

October 28 - 29, 2016 Program Category: Special Events and Conferences

Workshop II: Collective Variables in Classical Mechanics

October 24 - 28, 2016 Part of the Long Program: Understanding Many-Particle Systems with Machine Learning

NSF Mathematics Institutes’ Modern Math Workshop (at SACNAS)

October 12 - 13, 2016 Program Category: Special Events and Conferences

Workshop I: Machine Learning Meets Many-Particle Problems

September 26 - 30, 2016 Part of the Long Program: Understanding Many-Particle Systems with Machine Learning

Understanding Many-Particle Systems with Machine Learning Tutorials

September 13 - 16, 2016 Part of the Long Program: Understanding Many-Particle Systems with Machine Learning

Understanding Many-Particle Systems with Machine Learning

September 12 - December 16, 2016 Program Category: Long Programs
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Past Programs

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From our Participants

“ [RIPS] truly kicked off my career in applied mathematics! I am currently applying to grad schools for applied mathematics, which I probably wouldn’t have done without IPAM. My participation in the RIPS program led to an internship at JPL which turned into a full-time position as a software engineer.

”
Rachel Hodos,

2008 RIPS student, now a PhD student at the Courant Institute.

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