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Philip C. Cooley

Senior Fellow, Bioinformatics and High-Performance Computing

Philip C. Cooley is a principal scientist with more than 50 years of experience developing computer models for the study of environmental health and infectious and chronic disease. Cooley has designed and implemented a series of influenza transmission models for the study and management of pandemic flu. He has also designed a model to study the double burden of malnutrition in Indonesia. 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.

Latest Publications

Cooley, P.C., Bartsch, S.M., Brown, S.T., Wheaton, W.D., Wagener, D.K., & Lee, B.Y. (2016). Weekends as social distancing and their effect on the spread of influenza. Computational and Mathematical Organization Theory, 22 (1):71-87.
Lee, B.Y., Bartsch, S.M., Brown, S.T., Cooley, P., Wheaton, W.D., & Zimmerman, R.K. (2015). Quantifying the economic value and quality of life impact of earlier influenza vaccination. Medical Care, 53 (3):218-229.
Rogers, S.M., Rineer, J., Scruggs, M.D., Wheaton, W.D., Cooley, P.C., Roberts, D.J., & Wagener, D.K. (2014). A geospatial dynamic microsimulation model for household population projections. International Journal of Microsimulation, 7 (2):119-146.
Cooley, P.C., Clark, R.F., & Folsom, R.E. (May 2014). Assessing gene-environment interactions in genome-wide association studies: Statistical approaches: RTI Press Publication No. RR-0022-1405. Research Triangle Park, NC: RTI Press.
Ardini, M.A., Pan, H., Qin, Y., & Cooley, P.C. (2014). Sample and data sharing: Observations from a central data repository. Clin Biochem , 47 (4-5):252-257.
View all publications by Philip C. Cooley (66)


  • Biostatistics
  • Data Capture Technologies
  • Bioinformatics
  • Optimization Methods