Session 1: Talk 3, Casey Greene, Machine learning for rare diseases: the role of open data

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Dr. Casey Greene is an Associate Professor of Systems Pharmacology and Translational Therapeutics in the Perelman School of Medicine at the University of Pennsylvania. His lab develops deep learning methods that integrate distinct large-scale datasets to extract the rich and intrinsic information embedded in such integrated data. A core mission of his lab is bringing these capabilities into every molecular biology lab. He is also the director for Childhood Cancer Data Lab, Alex's Lemonade Stand Foundation, where he leads a team to builds tools and analyzes data to accelerate the pace of finding cures for childhood cancer by empowering scientists and doctors to harness the power of Big Data. http://www.greenelab.com/casey

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