Computational Science
Computational science is an area that tackles computing challenges in the sciences by blending together algorithms, statistics, machine learning, data science, numerical computing, and high-performance computing. Our faculty’s research spans application areas of computational biology and bioinformatics, biomedicine, signal and image processing, traffic flow prediction, and networks. We develop and analyze methods rooted in scientific computing, high-performance computing, numerical linear algebra, accuracy of computation, and theoretical computer science. Other research activities include numerical methods and analysis, scientific and high-performance computing, modeling and simulation, parallel algorithms, cyberinfrastructure for science, large-scale data analytics, and scientific machine learning.
Primary Faculty
Affiliate Faculty
