George Biros

Research Interests

High performance scientific computing with applications to fluid mechanics, biophysical modeling for tumor growth, inverse problems, and integration of data with simulations.

Bio

George earned his Ph.D. in Computational Science and Engineering from Carnegie Mellon University. He held a post-doctoral appointment at NYU's Courant Institute of Mathematical Sciences. He has held faculty positions at the University of Pennsylvania and Georgia Institute of Technology.

George's research group focuses on computational mathematics and the invention of new parallel algorithms for physics-based simulations and large scale data analysis. The group is developing technologies for discovery and innovation that will harness the upcoming breakthroughs in high performance computing, including exascale platforms.

Current research topics include parallel algorithms, numerical algorithms for integral and differential equations, inverse problems, data assimilation, computational statistics, biological complex fluids, blood rheology, soft tissue and cardiovascular mechanics, and medical image analysis.

Select Awards and Honors

• Association for Computing Machinery's Gordon Bell Prize
• Early Career Young Investigator Award from the U.S. Department of Energy
• Associate editor of the Society for Industrial and Applied Mathematics Journal on Scientific Computing

Related Websites

Parallel Algorithms for Data Analysis and Simulation Group

Oden Institute for Computational Engineering and Sciences

Select Publications

Google Scholar