
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


Boris Kramer - Robust Design Optimization - IPAM at UCLA

Jaime Marian - Modeling and Simulation Techniques for Structural Materials Under Fusion Conditions

Tim Wildey - Inverse Uncertainty Quantification with PyApprox - IPAM at UCLA

John Jakeman - Forward Uncertainty Quantification - IPAM at UCLA

Omar Hurricane - Inertial Confinement - IPAM at UCLA

Emily Belli - Computational plasma physics for turbulence & integrated modeling of transport

Tomo-Hiko Watanabe - Zonal flows and turbulence in helical systems: a tutorial - IPAM at UCLA

Frank Jenko - Towards Digital Twins of Fusion Systems - IPAM at UCLA

Frank Jenko - Plasma Models in Fusion Research - IPAM at UCLA

Lise-Marie Imbert-Gerard - An introduction to magnetic confinement in toroidal devices

Kevin Weil - AI for Mathematical and Scientific Discovery - Bhaumik Public Lecture at CNSI

Terence Tao and Mark Chen - Fireside Chat with James Donovan - IPAM at UCLA

Physics Panel - Accelerating Math and Theoretical Physics with AI - IPAM at UCLA

Lance Dixon - AI for Theory Data - IPAM at UCLA

Nathaniel Craig - Reasoning AIccelerators for High Energy Physics - IPAM at UCLA

Sergei Gukov - The role of AI in mathematical (re)search - IPAM at UCLA

Lorin Crawford - When more isn't better: Rethinking Scale in Single-cell Foundation Models

Paul Newton - Gaming the Cancer-Immunity Cycle by Synchronizing the Dose Schedules - IPAM at UCLA

Hongkai Zhao - Simple and Efficient Iterative Strategies for Mean-Field Games - IPAM at UCLA
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