Yuefan Deng
Yuefan Deng | |
|---|---|
Deng in 1983 | |
| Born | December 26, 1962 Hubei Province, China |
| Alma mater | Nankai University Columbia University |
| Scientific career | |
| Fields | Applied Mathematics |
| Institutions | Stony Brook University Hong Kong University of Science and Technology Columbia University National University of Singapore New York University |
| Doctoral advisor | Norman H. Christ |
Yuefan Deng (Y. F. Deng, Chinese: 邓越凡; pinyin: Dèng Yuèfán, born December 1962) is a computational scientist, academic, and author serving as a Professor in the Department of Applied Mathematics and Statistics at Stony Brook University. His research centers on developing parallel computing and machine learning algorithms for supercomputers, with a particular focus on modeling human platelet dynamics and optimizing Markov Chain Monte Carlo techniques for various applications.
Deng's publications comprise journal articles and textbooks including Lectures, Problems and Solutions for Ordinary Differential Equations, Introductory Partial Differential Equations and Applied Parallel Computing. He received 1983 Nankai University Distinguished Award, the 2015-2016 Stony Brook University Engineering Dean’s Award and the 2016 State University of New York Chancellor's Award for Excellence in Teaching.