ductory calculus courses. He has presented to Congress on Calculating the Secrets of Life: Mathematics and Medicine. He received his bachelor’s degree in physics from Louisiana State University and PhD in mathematics from the University of Cambridge.

Consultant to the committee:

Charles Peskin is professor of mathematics at the Courant Institute of Mathematical Sciences, New York University. He has done extensive mathematical and numerical analysis of physiological problems, particularly in cardiac fluid dynamics and the study of the heart’s architecture. His research interests include the application of mathematics and computing to problems arising in medicine and biology, fluid dynamics of the heart, and molecular machinery within biological cells. He is a winner of the NYU Alumni Association’s Great Teacher Award, a MacArthur Fellowship, the James H. Wilkinson Prize in Numerical Analysis and Scientific Computing, and the New York City Mayor’s Award for Excellence in Science and Technology. He teaches a freshman honors seminar in computer simulation. He received his bachelor’s degree in engineering and applied physics from Harvard University and his PhD in physiology from Yeshiva University.

REPORT OF THE MATHEMATICS AND COMPUTER SCIENCE PANEL

It was the unanimous view of the mathematics and computer science panels that there need to be major revisions in the education of scientists working on cutting-edge biology questions. Biology is changing from a purely experimental science done at the bench to one in which large databases of information and quantitative models play a significant role in the day-to-day life of a research biologist. As the role of the 30,000 or so genes in the human begin to unfold, new means will be needed to understand the interactions between gene products that lead to the coordinated activities of the cell. Gene networks, metabolic networks, neural networks, and cell signaling are all terms bantered about and reflect the need for biologists to view and understand the coordinated activities of large numbers of components of the complex systems underlying life. While today’s students learn about the importance of in vitro models, students in 2010 should be prepared for doing in silico (or computer) experiments, which may be as commonplace as today’s in vitro experimental systems. To prepare for this sea



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