Casey runs the Integrative Genomics Laboratory at the University of Pennsylvania, and he has had a long-standing interest in the intersection of big data and biology. His lab develops methods that integrate large-scale datasets to extract the rich information embedded in this type of diverse genomic data. This approach reveals underlying principles of regulation related to an organism’s genetics, its environment and its response to that environment. Such principles, discovered based on analyses across distinct datasets, are expected to be general instead of specific to one experiment. A core mission of his lab is to develop webservers that put these capabilities into every molecular biology lab in the world.
Scientists need to look at the world and see questions: the things that we see but don’t understand. With huge amounts of data this can be overwhelming. The impact of this work is to give biologists tools that highlight the patterns in the data that are most relevant to them.
Casey is an assistant professor in the Department of Systems Pharmacology and Translational Therapeutics in the Perelman School of Medicine. Casey earned his PhD from Dartmouth College and also trained at Princeton University.
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University of Pennsylvania, Department of Systems Pharmacology and Translational Therapeutics