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Bio
Philip C. Cooley was born in Summit, NJ. He received the Bachelor of Science degree in mathematics from Northwestern University, Evanston, IL, in 1963, the Postgraduate diploma in numerical analysis and automatic computing from the University of Sydney, N.S.W., Australia, in 1967, and the Master of Science degree in operations research from the University of North Carolina, Chapel Hill, in 1976.
Since 2001, he has been an Assistant Director, Bioinformatics, Research Computing Division and Partnership for Genomics and Molecular Epidemiology at the RTI International, Research Triangle Park, NC. From 1993 to 2001, he was the Principal Scientist for RTI's Research Computing Division. He was earlier the Senior Operations Researcher, and later, the Assistant Director of RTI's Computer Applications Center. During 1969–1979, he was a Programmer/Analyst for RTI's Operations Research and Economics Division. During 1966–1969, he was a Research Assistant for Basser Computing Department at the University of Sydney. From 1963 to 1966, he was with the Expressway Surveillance Project, Oak Park, IL, as a Programmer/Analyst. He is the author or coauthor of Strategies for mitigating an influenza pandemic (Nature, April 26, 2006); Disease Model Validation Issues; and Inconsistencies between human genetic cytolocations and those derived using genomic sequence (Cytogenetic and Genome Research vol. 112).
Mr. Cooley is a member of the American Association for the Advancement of Science, and is on the Board of Directors of Computers and Human Behavior. He was a Reviewer for the Science Magazine, the Journal of the American Medical Association, and the AIDS and Related Research Study Section for the National Institutes of Health. He holds copyrights on various software packages: the Automated Forms System (AFS, 1989), the General Purpose Queuing Simulation package (GPQS, 1985), and COOLMULT, which is a multivariate statistical package of procedures not supported in SAS (1981).
Research Interests
Papers共 83 篇Author StatisticsCo-AuthorSimilar Experts
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METHODS IN STATISTICAL GENOMICS: IN THE CONTEXT OF GENOME-WIDE ASSOCIATION STUDIES (2016)
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IMPROVING OUTCOMES: FOR NONCOMMUNICABLE DISEASES IN LOW-AND MIDDLE-INCOME COUNTRIES (2016)
METHODS IN STATISTICAL GENOMICS: IN THE CONTEXT OF GENOME-WIDE ASSOCIATION STUDIES (2016)
METHODS IN STATISTICAL GENOMICS: IN THE CONTEXT OF GENOME-WIDE ASSOCIATION STUDIES (2016)
METHODS IN STATISTICAL GENOMICS: IN THE CONTEXT OF GENOME-WIDE ASSOCIATION STUDIES (2016)
METHODS IN STATISTICAL GENOMICS: IN THE CONTEXT OF GENOME-WIDE ASSOCIATION STUDIESpp.1-16, (2016)
semanticscholar(2016)
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METHODS IN STATISTICAL GENOMICS: IN THE CONTEXT OF GENOME-WIDE ASSOCIATION STUDIES (2016)
METHODS IN STATISTICAL GENOMICS: IN THE CONTEXT OF GENOME-WIDE ASSOCIATION STUDIES (2016)
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