Yuefan Deng is a Professor of Applied Mathematics at Stony Brook University.  Prof.  Deng earned his BA (1983) in Physics from Nankai University in China and his Ph.D. (1989) in Theoretical Physics from Columbia University. After a brief postdoctoral training at New York University’s Courant Institute, he joined, in 1989, the faculty at Stony Brook where he remains. As an adjunct or visiting professor, he has worked at NYUAD, Columbia, NUS and NTU (of Singapore), the University of São Paulo, and IBM T. J. Watson Research Laboratory, as well as Los Alamos and Brookhaven National Laboratories.

Prof. Deng’s research covers parallel computing, molecular dynamics, Monte Carlo methods, and biomedical engineering. The latest focus is on multiscale modeling of platelet activations and aggregations (funded by the US NIH, New York State, and IBM) on supercomputers, parallel optimization algorithms, and supercomputer network topologies. He publishes widely in diverse fields of physics, computational mathematics, and biomedical engineering. He has supervised 30 doctoral theses and taught more than 15,000 students (as of 2022) ordinary differential equations and numerical analysis. He is the recipient (2016) of the State University of New York Chancellor’s Award for Excellence in Teaching. He is the architect of the Galaxy Beowulf Supercomputer at Stony Brook built in 1997 and of the NankaiStars Supercomputer which was China's fastest when it was completed in 2004.

Deng's Wiki page can be found here.