Chunming Zhang is a Chinese and American statistician whose research involves nonparametric statistics and semiparametric models with applications including neuroscience and statistical finance.
[2] Zhang was an undergraduate at Nankai University, and earned a master's degree through the Chinese Academy of Sciences.
[3] She completed a Ph.D. at the University of North Carolina at Chapel Hill in 2000.
Her dissertation, Topics in the Generalized Likelihood Ratio Test, was supervised by Jianqing Fan.
[3] Zhang was elected as a Fellow of the Institute of Mathematical Statistics in 2011, "for influential contributions to theory and methodology for high-dimensional data, for unifying common loss functions through Bregman divergence, and for fundamental work in nonparametric and semiparametric methodology together with applications in multiple testing, brain-imaging and finance".