Wednesday 11th November, 2015
11:00am to 11:45am
Through partnership with researchers, careful analysis of actual usage metrics and benchmarking, modern technologies can be leveraged to decrease the time-to-solution for scientific workflows. The fruits of our collaborative approach have enabled our researchers to tackle more complex scientific questions to better diagnose and treat disease. We aim to increase computational and thus scientific throughput with optimized, scalable and sustainable computational architecture specific for our application workflows. Computational and data challenges associated with genomic sequencing will be used as an example.
Patricia Kovatch is the founding Associate Dean for Scientific Computing at the Icahn School of Medicine at Mount Sinai, joining in 2011. In 2014, she was awarded a $2M NIH grant to build a 5 Petabyte Omics Data Engine. Previously, she led the National Institute for Computational Sciences of the University of Tennessee, Knoxville at Oak Ridge National Laboratory, deploying the world’s third-fastest machine, a 1.17 petaflop Cray XT5 for NSF in 2009.
Icahn School of Medicine at Mount Sinai
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