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INTERESTING PEOPLE
Interesting People—a monthly WTVP series
hosted by Ed Sutkowski—features
half-hour conversations of thoughtful dialogue with ordinary individuals who
have achieved extraordinary measures of success in the arts, business,
communications, education, science and sports.
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not so much to see what no one yet has seen, but to think what
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Malcolm C. Pike, Ph.D.

Malcolm C. Pike, Ph.D.

Malcolm C. Pike, Ph.D.

Malcolm C. Pike, Ph.D.

Malcolm C. Pike, Ph.D. and Ed Sutkowski
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Malcolm C. Pike, Ph.D.
Epidemiologist / Mathematical Statistician
Episode #803
Host Ed Sutkowski talks with Malcolm C. Pike, Ph.D., Epidemiologist / Mathematical Statistician, Memorial Sloan-Kettering Cancer Center, New York, New York.
Original Air Date(s): 11/16/2011
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Biographical Information |
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Malcolm C. Pike, Ph.D.,
Epidemiologist / Mathematical Statistician,
Memorial Sloan-Kettering Cancer Center,
New York, New York
Malcolm C. Pike, Ph.D., is a statistical mathematician by training and an epidemiologist by profession and is associated with New York's Memorial Sloan-Kettering's Cancer Center. Dr. Pike, an author of more than 536 professional papers, is a renowned epidemiologist who has made seminal contributions to the understanding of hormone-related breast cancer. His research addresses key public health issues such as those relating to oral contraceptives and breast cancer. Dr. Pike received his Ph.D. degree in mathematical statistics in 1963 from Aberdeen University, in Scotland. Dr. Pike was previously the Director of the Cancer Epidemiology Unit at Oxford University from 1983 to 1987. His many honors include membership in the Institute of Medicine and the 2008 Distinguished Achievement Award from the American Society of Preventive Oncology. He discusses the application of statistics to today's world: the movie, Money Ball, starring Brad Pitt, Google and the differences between an individual with a quantative mind and a qualitative mind. Dr. Pike describes not the ultimate cure for breast, endometrial and ovarian cancer, but instead the steps which in the foreseeable future will reduce the adverse impact of those diseases by reaching an acceptable state of imperfection.
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