Statistical computing

KAUST Ph.D. student wins best paper award from American Statistical Association

1 min read · Thu, Apr 25 2019

Awards News Spotlight

Statistical computing High Performance Computing

KAUST Ph.D. statistics student Jian Cao was recently selected as a best paper award winner by the American Statistical Association (ASA) for his paper entitled "Computing High-Dimensional Normal and Student-t Probabilities with Tile-Low-Rank Quasi-Monte Carlo and Block Reordering." Cao's paper was chosen in an ASA student paper competition under the section on Statistical Computing.

Sameh Abdulah

Research Scientist, Hierarchical Computations on Manycore Architectures

exageostat extreme computing parallel algorithms large-scale computing machine learning Statistical computing

Dr. Sameh Abdulah is a Research Scientist at the Extreme Computing Research Center. Why KAUST? Finding a university that believes in multi-disciplinary is challenging. KAUST multi-disciplinary vision aims to fill the gaps between different research fields to serve the human needs and consolidate the understanding of this mysterious world. Each country should have its KAUST to change the common vision of research around the world. Why HPC? High-performance Computing (HPC) is a way to move science from a limited scale to non-expected scale. Scalability means more analysis, understanding, and