Big data and algorithms are used by companies to precisely target consumers — for example, predicting and recommending what they might want to shop for or shows they might want to watch. Now these same technologies are helping to create personalized medical treatment plans.
There has never been a better time to introduce this topic into your course.
Join us for a free webinar to hear Michael Snyder, PhD, of Stanford University discuss the value of big data in medicine and participate in the live Q&A session:
Michael Snyder is the Stanford Ascherman Professor and Chair of Genetics and the Director of the Center of Genomics and Personalized Medicine. Dr. Snyder received his PhD training at the California Institute of Technology and carried out postdoctoral training at Stanford University.
He is a leader in the field of functional genomics and proteomics, and one of the major participants of the ENCODE project. His laboratory study was the first to perform a large-scale functional genomics project in any organism, and has developed many technologies in genomics and proteomics.
These include the development of proteome chips, high resolution tiling arrays for the entire human genome, methods for global mapping of transcription factor binding sites (ChIP-chip now replaced by ChIP-seq), paired end sequencing for mapping of structural variation in eukaryotes, de novo genome sequencing of genomes using high throughput technologies and RNA-Seq.
He is a cofounder of several biotechnology companies, including Protometrix (now part of Life Technologies), Affomix (now part of Illumina), Excelix and Personalis, and he presently serves on the board of a number of companies.
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