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Computational Science

Finding Solutions for Real-Life Applications.

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Computational Sciences, also known as Scientific Computing, involves using algorithms to solve physical, biological, social sciences and engineering problems through mathematical and statistical models. It complements the areas of theory and experimentation in traditional scientific investigation.

The Computational Sciences Group combines the complimentary experience and expertise of biologists, chemists, engineers, mathematicians, and physicists to build, analyze, and solve mathematical models for large scale complex problems from real applications.

Mission & Vision

The mission of the Computational Sciences Group includes:

  • Develop advanced research, training, and outreach in computational science by stimulating interactions among researchers and practitioners from interdisciplinary fields and industry.
  • To share expertise and computational tools with investigators and students interested in computational science.
  • To provide information and support for securing extramural grants from various funding agencies and industry.


Name College & Department
Alex Stokolos, PhD COSM, Mathematical Science
Yan Wu, PhD COSM, Mathematical Science
Cheng Zhang, PhD CEIT, Mechanical Engineering


Last updated: 8/10/2016