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Institute for Pure & Applied Mathematics (IPAM) · 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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Asimina Arvanitaki - Searching for Ultra-Light Bosons with Black Hole Superradiance - IPAM at UCLA

18 Nov 2021
37m
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Kyle Cranmer - Simulation-based Inference for Gravitational Wave Astronomy - IPAM at UCLA

18 Nov 2021
48m
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Dan Foreman-Mackey - Methods for scalable probabilistic inference - IPAM at UCLA

17 Nov 2021
46m
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Joshua Speagle - A Brief Introduction to Nested Sampling - IPAM at UCLA

17 Nov 2021
38m
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Scott Field - Gravitational Wave Parameter Estimation with Compressed Likelihood Evaluations

17 Nov 2021
41m
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Stephen Green - Real-time gravitational-wave parameter estimation using machine learning

17 Nov 2021
35m
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Colm Talbot - Adventures in practical population inference - IPAM at UCLA

16 Nov 2021
42m
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Maya Fishbach - Black hole astrophysics with gravitational-wave catalogs - IPAM at UCLA

16 Nov 2021
45m
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Rachel Gray - Cosmology with dark sirens: attempting to solve the Hubble constant tension

16 Nov 2021
42m
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Michela Mapelli - Astrophysical models of binary compact objects - IPAM at UCLA

16 Nov 2021
40m
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Salvatore Vitale - Introduction to Population Inference - IPAM at UCLA

16 Nov 2021
10m
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Sarah Vigeland - Supermassive Black Holes and Merging Galaxies - IPAM at UCLA

16 Nov 2021
38m
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Arianna Renzini - Stochastic background searches in GW experiments - IPAM at UCLA

15 Nov 2021
49m
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Kristen Lackeos - LISA and the global analysis of galactic binary gravitational wave signals

15 Nov 2021
27m
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Tyson Littenberg - Building flexible, but not too flexible, models of gravitational wave data

15 Nov 2021
33m
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Katerina Chatziioannou - Introduction to Single Source Inference - IPAM at UCLA

15 Nov 2021
8m
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András Vasy - The black hole stability problem - IPAM at UCLA

29 Oct 2021
44m
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Grigorios Fournodavlos - The mysterious nature of the Big Bang singularity - IPAM at UCLA

29 Oct 2021
44m
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Matti Lassas - Inverse problems for Einstein’s equations and other non-linear hyperbolic equations

29 Oct 2021
40m
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Anne Franzen - Flat FLRW and Kasner big bang singularities - analyzed on the level of scalar waves

29 Oct 2021
30m
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