
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


Sagi Snir: "Universal Pace-Maker as a better explanation of evolution and aging"

Ran Blekhman: "Human genomic control of the microbiome"

Leonid Kruglyak: "Genetic basis of phenotypic variation"

Lior Pachter: "Mystery and Genomics"

Itsik Pe'er: "Identity by descent in medical and population genomics"

Xiaoquan (William) Wen: "Bayesian approaches to integrative genetic association analysis..."

Or Zuk: "Co-evolution methods and applications"

Alex Zelikovsky: "Inference of metabolic pathway activity from meta-transcriptomic reads"

Jason Ernst: "Computational approaches for deciphering the non-coding human genome"

Saharon Rosset: "Statistical modeling of mutational processes"

Ilan Gronau: "Bayesian demography inference: from parameter estimation to model selection"

Can Alkan: "Next-generation sequence characterization of complex genome structural variation"

David Tse: "How to Solve NP-hard Problems in Linear Time"

Dana Pe'er: "Having fun with single-cell RNA-seq: imputation and manifolds"

Daniel Wegmann: "Tracing the spread of farming using ancient DNA: Bioinformatic challenges..."

Jennifer Listgarten: "CRISPR Gene Editing with Machine Learning"

Elhanan Borenstein: "Multi-omic and model-based analysis of microbiomes"

Cenk Sahinalp: "HIT'nDRIVE: Patient-specific multi-driver gene prioritization for precision oncology

Mike Raugh: "Leibniz used Calculus to solve the Catenary Problem: But he presented it..."
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