Philip C. Cooley
Senior Fellow, Bioinformatics and High-Performance Computing
Philip C. Cooley is a principal scientist with more than 45 years of experience developing computer models for the study of environmental health and disease transmission scenarios. Cooley recently designed and implemented a series of influenza transmission models for the study and management of pandemic flu. His current research includes an assessment of statistical methods for biomarker explorations in the context of genome-wide-analysis studies. He created a database of genes with known genetic inheritance properties that constitutes a "truth set" to support statistical association explorations. Cooley has authored or co-authored numerous reports, professional journal articles, and book chapters, and has reviewed for Science, The Journal of the American Medical Association, and the AIDS and Related Research study section for the National Institutes of Health. He is a member of the American Association for the Advancement of Science and is on the editorial board of Computers and Human Behavior.
MS, Operations Research, University of North Carolina at Chapel Hill; Post Graduate Diploma of Numerical Analysis and Automatic Computing, University of Sydney, Australia; BS, Mathematics, Northwestern University.