Speaker: Andrew Kasarskis, Ph.D., Vice Chair, Dept. of Genetics & Genomic Sciences, Co-Director, Icahn Inst. for Genomics & Multiscale Biology

Today we are swimming in big data relevant to the biology of health and disease. We have also experienced major advances in computing (e.g. processing power, storage, algorithms) that promise improved detection of medically actionable signal in that data. At Mount Sinai, we use scalable supercomputing for advanced quantitative analysis of massive and varied datasets that creates predictive models of heath and disease. We deploy this approach in diverse areas such as Personalized Cancer Therapy, integration of genomics with electronic medical records, and infectious disease surveillance.

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