We are the Computational Genetics Laboratory (CGL) at the Perelman School of Medicine of the University of Pennsylvania in Philadelphia. We are affiliated with the Institute for Biomedical Informatics, the Department of Biostatistics, Epidemiology, and Informatics, the Department of Genetics, and the Department of Computer and Information Science. We are also part of the graduate programs in Genomics and Computational Biology (GCB) and Epidemiology and Biostatistics (GGEB). We are located in the historic Richards Building on Hamilton Walk in the heart of the Penn campus. Our primary goal is to understand human health as a complex adaptive system so that we can improve the prediction, diagnosis, prevention, and treatment of common diseases. We take a computational approach focusing on the development, evaluation, and application of artificial intelligence, automated machine learning, and systems approaches to modeling biomedical big data. Our work spans the disciplines of biomedical informatics, biostatistics, computer science, human genetics, genetic epidemiology, genomics, and precision medicine. Epistasis is an exemplar of the complexity of human health that we seek to detect and characterize. See our research page for examples of current and past projects.
We look forward to working with you!