معرفی
Ming Yuan is a Professor of Statistics at Columbia University and an Affiliate Investigator at the Morgridge Institute’s virology and computational biology research areas. His work bridges biostatistics, computational biology, and data science to advance personalized medicine through high-dimensional biomedical data analysis.
- Ph.D. in Statistics (2004), University of Wisconsin–Madison
- M.S. in Computer Science (2003), University of Wisconsin–Madison
- M.S. in Probability and Statistics (2000), University of Science and Technology of China
- B.S. in Electrical Engineering and Information Sciences (1997), University of Science and Technology of China
His research focuses on high-dimensional data analysis, biomedical data modeling, and computational biology, with applications in genetic sequencing, clinical trials, and precision diagnostics. He emphasizes leveraging unstructured data to enhance disease diagnosis, treatment targeting, and preemptive interventions based on genetic susceptibility.
Notable awards include the 2014 Guy Medal in Bronze (Royal Statistical Society) and the 2009 NSF CAREER Award. His interdisciplinary collaborations span institutions like the Morgridge Institute and Georgia Tech.
