tative learning in biology. He is a Fellow of the American Association for the Advancement of Science and has been named the Scott Professor for Teaching and the Piper Professor of Texas. He serves on the education committee of the American Society for Cell Biology and the college committee of the National Association of Biology Teachers. He has participated in many conferences, workshops, and panels on education, the most recent being the Mathematics Association of America’s study of Mathematics Education Reform in Biology and Chemistry. He teaches courses on Biological Visualization, Developmental Biology, and Organsimal Structure & Function. He received a BS in biological sciences from the University of Texas at El Paso and an MA and PhD in zoology from the University of Texas at Austin.

Louis Gross is director of the Institute for Environmental Modeling and professor of ecology and evolutionary biology and professor of mathematics at the University of Tennessee in Knoxville. His research interests include mathematical ecology, computational ecology, quantitative training for life science students, photosynthetic dynamics, and parallel computation for ecological models. He was the co-director of courses and workshops on mathematical ecology held by the International Centre for Theoretical Physics in Trieste, Italy, between 1986 and 2000. He has organized two NSF-sponsored workshops on quantitative curriculum development for life science students. In 1999 he taught an NSF Chataqua Course entitled Life Science Education: Preparing Fearless Biologists. At Tennessee he teaches courses on Mathematical Ecology, Mathematical Modeling and Evolutionary Theory, and Basic Concepts in Ecology. He received his BS degree from Drexel University and his PhD in Applied Mathematics from Cornell University.

Richard Karp is senior research scientist at the International Computer Science Institute in Berkeley, California, and professor of computer science and adjunct professor of molecular biotechnology at the University of Washington in Seattle. He has done research on NP-completeness, fast parallel algorithms, string matching, and, most recently, computational biology. His current research is on the application of algorithms, combinatorial mathematics, and probability to problems in genomics. He is particularly interested in physical mapping, in the analysis of genome sequencing strategies, and in the application of algorithms to the study of gene expression. He is a member of the National Academy of Sciences and

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