
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


Kyle Cranmer - Simulation-based Inference for Gravitational Wave Astronomy - IPAM at UCLA

Dan Foreman-Mackey - Methods for scalable probabilistic inference - IPAM at UCLA

Joshua Speagle - A Brief Introduction to Nested Sampling - IPAM at UCLA

Scott Field - Gravitational Wave Parameter Estimation with Compressed Likelihood Evaluations

Stephen Green - Real-time gravitational-wave parameter estimation using machine learning

Colm Talbot - Adventures in practical population inference - IPAM at UCLA

Maya Fishbach - Black hole astrophysics with gravitational-wave catalogs - IPAM at UCLA

Rachel Gray - Cosmology with dark sirens: attempting to solve the Hubble constant tension

Michela Mapelli - Astrophysical models of binary compact objects - IPAM at UCLA

Salvatore Vitale - Introduction to Population Inference - IPAM at UCLA

Sarah Vigeland - Supermassive Black Holes and Merging Galaxies - IPAM at UCLA

Arianna Renzini - Stochastic background searches in GW experiments - IPAM at UCLA

Kristen Lackeos - LISA and the global analysis of galactic binary gravitational wave signals

Tyson Littenberg - Building flexible, but not too flexible, models of gravitational wave data

Katerina Chatziioannou - Introduction to Single Source Inference - IPAM at UCLA

András Vasy - The black hole stability problem - IPAM at UCLA

Grigorios Fournodavlos - The mysterious nature of the Big Bang singularity - IPAM at UCLA

Matti Lassas - Inverse problems for Einstein’s equations and other non-linear hyperbolic equations

Anne Franzen - Flat FLRW and Kasner big bang singularities - analyzed on the level of scalar waves
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