Chunming Zhang

Chunming Zhang is a Chinese and American statistician whose research involves nonparametric statistics and semiparametric models with applications including neuroscience and statistical finance. She is a professor of statistics at the University of Wisconsin–Madison,[1] and the chair of the Nonparametric Statistics Section of the American Statistical Association.[2]

Education and career

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.[4]

She joined the University of Wisconsin–Madison as an assistant professor in 2000, and has been a full professor since 2010.[3]

Recognition

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".[5]

She became a Fellow of the American Statistical Association in 2016.[6] She is a 2024 Medallion Lecturer of the Institute of Mathematical Statistics.[7]

References

  1. ^ "Chunming Zhang", Faculty, University of Wisconsin–Madison Department of Statistics, 7 March 2019, retrieved 2024-06-18
  2. ^ "Officers", Nonparametric Statistics Section, American Statistical Association, retrieved 2024-06-18
  3. ^ a b Biography, University of Wisconsin–Madison, retrieved 2024-06-18
  4. ^ Chunming Zhang at the Mathematics Genealogy Project
  5. ^ IMS announces new Fellows, Institute of Mathematical Statistics, 10 June 2011, retrieved 2024-06-18
  6. ^ ASA Fellows, American Statistical Association, retrieved 2024-06-18
  7. ^ Chunming Zhang: Medallion Lecture, Institute of Mathematical Statistics, 15 May 2024, retrieved 2024-06-18