Inspired by the utility of mathematics in exploring problems, mathematical scientists not only seek fundamental knowledge, but also convert their understanding for practical use in all disciplines including biology. The rapid acquisition of biological data frames an evolving intersection between mathematics and biology education as science and technology advance.  In this age of Big Data, not just researchers, but also students in biology must grapple with mathematical models, tools, and insights as they engage in the study of biological science.

Contemporary Issues in Mathematics

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Personalized health is possible by integrating genomic data, imaging data, and demographic data into mathematical models to develop new diagnostic tools and new therapies to predict treatment outcomes. Drug design has shifted from screening of natural and synthetic compounds to utilizing 3-D structures of proteins. Using current computational tools, scientists can identify as well as design promising compounds. Public health is a global endeavor that requires extensive and rapid data collection, analysis, and communication between multiple organizations in multiple countries. Interactive maps on daily changes in health data are just one example. Quantitative models provide a framework for theoretical and experimental studies to understand physical and biological processes that impact epidemiological concerns such as a swine flu pandemic.