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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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Lior Pachter: "Differential analysis of count data in genomics"

04 Aug 2017
45m
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Sagi Snir: "Universal Pace-Maker as a better explanation of evolution and aging"

04 Aug 2017
46m
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Ran Blekhman: "Human genomic control of the microbiome"

04 Aug 2017
47m
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Leonid Kruglyak: "Genetic basis of phenotypic variation"

04 Aug 2017
31m
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Lior Pachter: "Mystery and Genomics"

04 Aug 2017
42m
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Itsik Pe'er: "Identity by descent in medical and population genomics"

04 Aug 2017
45m
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Xiaoquan (William) Wen: "Bayesian approaches to integrative genetic association analysis..."

04 Aug 2017
42m
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Or Zuk: "Co-evolution methods and applications"

04 Aug 2017
49m
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Alex Zelikovsky: "Inference of metabolic pathway activity from meta-transcriptomic reads"

04 Aug 2017
43m
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Jason Ernst: "Computational approaches for deciphering the non-coding human genome"

04 Aug 2017
41m
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Saharon Rosset: "Statistical modeling of mutational processes"

04 Aug 2017
45m
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Ilan Gronau: "Bayesian demography inference: from parameter estimation to model selection"

04 Aug 2017
46m
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Can Alkan: "Next-generation sequence characterization of complex genome structural variation"

04 Aug 2017
47m
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David Tse: "How to Solve NP-hard Problems in Linear Time"

04 Aug 2017
41m
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Dana Pe'er: "Having fun with single-cell RNA-seq: imputation and manifolds"

04 Aug 2017
40m
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Daniel Wegmann: "Tracing the spread of farming using ancient DNA: Bioinformatic challenges..."

04 Aug 2017
42m
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Jennifer Listgarten: "CRISPR Gene Editing with Machine Learning"

04 Aug 2017
41m
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Elhanan Borenstein: "Multi-omic and model-based analysis of microbiomes"

04 Aug 2017
45m
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Cenk Sahinalp: "HIT'nDRIVE: Patient-specific multi-driver gene prioritization for precision oncology

04 Aug 2017
36m
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Mike Raugh: "Leibniz used Calculus to solve the Catenary Problem: But he presented it..."

13 Jul 2017
49m
Page 114

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