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Institute for Pure & Applied Mathematics (IPAM) ยท Science

Institute for Pure & Applied Mathematics (IPAM)

The Institute for Pure and Applied Mathematics (IPAM) is a National Science Foundation Math Institute at the University of California, Los Angeles (UCLA) that fosters the interaction of mathematics with a broad range of science and technology, builds new interdisciplinary research communities, promotes mathematical innovation, and engages and transforms the world through mathematics. IPAM fulfills its mission through workshops and programs that connect mathematics and other disciplines or multiple areas of mathematics. These activities bring in thousands of visitors annually from academia, government, and industry. The NSF has encouraged IPAM to make the scientific presentations of our speakers available to a wider audience. While this YouTube channel contains many of our most popular videos, our full video archive is available at www.ipam.ucla.edu/videos.

Episodes

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Jochen Garcke - Introduction to Machine Learning for Science and Engineering - IPAM at UCLA

13 Mar 2026
1h 19m
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Boris Kramer - Robust Design Optimization - IPAM at UCLA

12 Mar 2026
1h 6m
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Jaime Marian - Modeling and Simulation Techniques for Structural Materials Under Fusion Conditions

12 Mar 2026
1h 4m
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Tim Wildey - Inverse Uncertainty Quantification with PyApprox - IPAM at UCLA

12 Mar 2026
1h 11m
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John Jakeman - Forward Uncertainty Quantification - IPAM at UCLA

12 Mar 2026
1h 11m
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Omar Hurricane - Inertial Confinement - IPAM at UCLA

11 Mar 2026
1h 3m
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Emily Belli - Computational plasma physics for turbulence & integrated modeling of transport

11 Mar 2026
1h 18m
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Tomo-Hiko Watanabe - Zonal flows and turbulence in helical systems: a tutorial - IPAM at UCLA

11 Mar 2026
1h 2m
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Frank Jenko - Towards Digital Twins of Fusion Systems - IPAM at UCLA

11 Mar 2026
1h 14m
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Frank Jenko - Plasma Models in Fusion Research - IPAM at UCLA

10 Mar 2026
1h 12m
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Lise-Marie Imbert-Gerard - An introduction to magnetic confinement in toroidal devices

10 Mar 2026
1h 22m
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Kevin Weil - AI for Mathematical and Scientific Discovery - Bhaumik Public Lecture at CNSI

09 Mar 2026
1h 2m
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Terence Tao and Mark Chen - Fireside Chat with James Donovan - IPAM at UCLA

09 Mar 2026
1h 1m
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Physics Panel - Accelerating Math and Theoretical Physics with AI - IPAM at UCLA

09 Mar 2026
1h 15m
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Lance Dixon - AI for Theory Data - IPAM at UCLA

09 Mar 2026
47m
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Nathaniel Craig - Reasoning AIccelerators for High Energy Physics - IPAM at UCLA

09 Mar 2026
43m
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Sergei Gukov - The role of AI in mathematical (re)search - IPAM at UCLA

09 Mar 2026
36m
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Lorin Crawford - When more isn't better: Rethinking Scale in Single-cell Foundation Models

28 Feb 2026
44m
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Paul Newton - Gaming the Cancer-Immunity Cycle by Synchronizing the Dose Schedules - IPAM at UCLA

28 Feb 2026
42m
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Hongkai Zhao - Simple and Efficient Iterative Strategies for Mean-Field Games - IPAM at UCLA

27 Feb 2026
47m
Page 8

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