Casey is an assistant professor in the Department 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. This approach reveals underlying principles of an organism鈥檚 genetics, its environment, and its response to that environment. Extracting this key contextual information reveals where the data鈥檚 context doesn鈥檛 fit existing models and raises the questions that a complete collection of publicly available data indicates researchers should be asking.
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