Summary
Yang Feng is a Professor of Biostatistics at New York University with 15+ years at the intersection of statistics and machine learning, focusing on high-dimensional inference, network models, and nonparametric methods. He has authored over 60 peer-reviewed articles with 3,600+ citations and holds NSF and NIH funding that translates theoretical advances into applied biomedical and economic problems. An elected member and fellow of ASA, IMS, and ISI, he also serves as associate editor for leading journals including AOAS and JASA. Trained in Operations Research and Financial Engineering at Princeton after a mathematics foundation from the University of Science and Technology of China, he blends rigorous theory with practical impact in public health.
10 years of coding experience
B.S., Mathematics, B.S., Mathematics at University of Science and Technology of China
Phd, Operations Research and Financial Engineering, Phd, Operations Research and Financial Engineering at Princeton University
Spanish