Michael Behe

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Michael J. Behe is professor of biological sciences at Lehigh University in Pennsylvania, a senior fellow of the Discovery Institute's Center for Science and Culture (CSC), and a fellow of the International Society for Complexity Information and Design (ISCID). Behe's current research involves computer simulation of the evolution of protein binding sites.

Dr. Behe graduated from Drexel University in 1974 with a Bachelor of Science in chemistry. He did his graduate studies in biochemistry at the University of Pennsylvania and was awarded a Ph.D. in 1978 for his dissertation research on sickle-cell anemia. From 1978 to 1982 he did postdoctoral work on DNA structure at the National Institutes of Health. From 1982 to 1985 he was assistant professor of chemistry at Queens College in New York City, where he met his wife. In 1985 he moved to Lehigh University.

In addition to publishing more than 35 articles in refereed biochemical journals, Dr. Behe has written editorial features in the Boston Review, American Spectator, and New York Times. His book, Darwin's Black Box, discusses the implications for neo-Darwinism of what he calls "irreducibly complex" biochemical systems. In his writings, Behe does not contest Darwinian evolution for animals or plants; his claim is that evolution cannot explain a few subcellular structures.

Behe is a Roman Catholic, and believes in common descent. Prior to subscribing to Intelligent Design, Behe was an Evolutionary Creationist (theistic evolutionist).

A quote from Behe on Richard Dawkins is here


See Creation & Evolution: How should we respond? - 2


Behe, M, Darwin Devolves - The New Science About DNA That Challenges Evolution (2019). This book is reviewed here by Nathan H. Lents, professor of biology at John Jay College, City University of New York, who also reviewed it for Science Magazine with S. Joshua Swamidass and Richared E. Lenski. Bruce (talk) 20:26, 10 April 2021 (AEST)


Links to relevant sites:

Revolution Against Evolution
Home Page
faculty page
Int. Society for Complexity, Information & Design