Prof. Yuefan Deng received his BA (1983) in Physics from Nankai University and his Ph.D. (1989) in Theoretical Physics from Columbia University. He is currently a professor of applied mathematics (since 1998) at Stony Brook University in New York.  He also worked at Columbia University, the National University of Singapore, Nanyang Technological University, and IBM T. J. Watson Research Laboratory as an adjunct or visiting professor. His research covers parallel computing, molecular dynamics, Monte Carlo methods, and biomedical engineering. The latest focus is on the multi-scale modeling of platelet activations and aggregations (funded by 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 nearly 30 doctoral theses and taught more than 15,000 students (as of 2021) in 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.