Rate My Professor George Biros

George Biros is the W. A. "Tex" Moncrief Chair in Simulation-Based Engineering Sciences in the Oden Institute for Computational Engineering and Sciences at the University of Texas at Austin, holding full professor appointments in the Department of Mechanical Engineering and by courtesy in Computer Science. In Engineering, his work centers on high-performance computing and advanced simulations. He earned a BS in Mechanical Engineering from Aristotle University in Greece in 1995, an MS in Biomedical Engineering from Carnegie Mellon University in 1996, and a PhD in Computational Science and Engineering from Carnegie Mellon University in 2000. Following his doctorate, Biros served as a postdoctoral associate at the Courant Institute of Mathematical Sciences from 2000 to 2003. His academic career progressed with an appointment as Assistant Professor in Mechanical Engineering and Applied Mechanics at the University of Pennsylvania from 2003 to 2008, followed by Associate Professor positions in the School of Computational Science and Engineering at Georgia Tech and in the Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech and Emory University from 2008 to 2011. At UT Austin, he leads the Parallel Algorithms for Data Analysis and Simulation Group and serves as Faculty Graduate Advisor for the Computational Science, Engineering, and Mathematics program.

Biros' research focuses on fast numerical methods and parallel algorithms for data analysis, encompassing machine learning, inverse problems, and uncertainty quantification, alongside simulations in computational fluid mechanics, materials science, and biophysical modeling. He advances medical image analysis integrated with biophysical models, particularly computational oncology, image registration, and segmentation. His efforts also target complex fluids, including flows in porous media, blood flow in microcirculation, vesicle flows, Stokesian particulate flows, additive manufacturing, and plasmas. Biros received the 2023 SIAM Fellowship for developing high-performance scientific computing algorithms applied to problems in science, engineering, and medicine. He contributed to teams awarded the IEEE/ACM SC03 and SC10 Gordon Bell Prizes, including for "A New Parallel Kernel-Independent Fast Multipole Method" and "Petascale Direct Numerical Simulation of Blood Flow on 200K Cores." Additional honors include the U.S. Department of Energy Early Career Young Investigator Award in 2005. His group develops open-source software scaling on heterogeneous architectures for exascale platforms, influencing neurooncology, blood rheology, fluid dynamics, soft tissue mechanics, cardiovascular mechanics, and data assimilation.