Stanford 50: State of the Art and Future Directions of Computational Mathematics and Numerical Computing


  • March 29, 2007
  • 3:15 pm - 3:40 pm

Future directions in computational systems biology

Linda Petzold (UC Santa Barbara)

As the biological sciences make their way through the 21st century, there will be an enormous need for systems-level analysis and quantitative methods that are well-integrated with the specific structure of the problems and the data. According to the recent NRC Report Mathematics and 21st Century Biology, "The exponentially increasing amounts of biological data at all scales of biological organization, along with comparable advances in computing power, create the potential for scientists to construct quantitative, predictive models of biological systems. Broad success would transform basic biology, medicine, agriculture, and environmental science.'' We illustrate some of the computational challenges in data analysis, model development and simulation via several biological problems.

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