- PhD (2000), statistics,
University of North Carolina-Chapel Hill
- MS, computational mathematics,
Academia Sinica, Beijing, China
- BS, mathematical statistics,
Nankai University, Tianjin, China
- 2010-now: Professor of Statistics, University of Wisconsin-Madison.
- 2005-2010: Associate Professor of Statistics, University of Wisconsin-Madison.
- 2000-2005: Assistant Professor of Statistics, University of Wisconsin-Madison.
- Associate Editor for Annals of Statistics (2007-2009; 2019-2021);
- Associate Editor for Journal of the American Statistical Association (2011-2013; 2014-2017; 2023-);
- Associate Editor for Journal of Statistical Planning and Inference (2012-2018);
- Associate Editor for Journal of Data Science (2020-);
- Associate Editor for The New England Journal of Statistics in Data Science (2020-)
- Guest Associate Editor for Statistica Sinica (2005)
Other Professional Service
- Chair of the ICSA Award Committee (2022), International Chinese Statistical Association.
- Chair-Elect (2022) and Chair (2023), Section on Nonparametric Statistics, American Statistical Association.
- Program Co-Chair of the Scientific Committee for the 2019 IMS-China International Conference on Statistics and Probability, July 6-10, 2019, Dalian, China.
- Program Chair-Elect (2014) and Program Chair (2015), Section on Nonparametric
Statistics, American Statistical Association.
- Charting Committee of International Society for NonParametric Statistics (2012-2015).
- Board of Directors of the International Chinese Statistical Association (2009-2011).
- Committee on Nominations (August 2009-August 2010), Institute of Mathematical Statistics.
- Medical imaging data analysis;
- Statistical methods for neuroinformatics and bioinformatics;
- Multiple testing; large-scale simultaneous inference and applications;
- Statistical methods for financial econometrics;
- Dimension reduction and high-dimensional inference;
- Non- and semi-parametric modeling & inference;
- Robust statistics;
- Functional & longitudinal data analysis;
- Traffic forecasting in transportation
Guo, R.S., Zhang, C.M. and Zhang, Z.J. (2020).
"Maximum Independent Component Analysis with application to EEG data,"
Statistical Science, 35, 145--157.
Zhang, C.M., Chai, Y., Guo, X., Gao, M., Devilbiss, D.M., and Zhang, Z. (2016).
"Statistical learning of neuronal functional connectivity,"
Technometrics, 58, 350-359.
Liu, J. Zhang, C.M., and Page, D. (2016).
"Multiple testing under dependence via graphical models,"
Annals of Applied Statistics, 10, 1699-1724.
Du, L. and Zhang, C.M. (2014).
"Single-index modulated multiple testing,"
Annals of Statistics, 42, 1262-1311.
- Yu, T., Zhang, C.M., Alexander, A.L., and Davidson, R.J. (2013).
"Local tests for identifying anisotropic diffusion areas in human brain with DTI,"
Annals of Applied Statistics, 7, 201-225.
Zhang, C.M., Fan, J. and Yu, T. (2011).
"Multiple testing via FDRL for large-scale imaging data,"
Annals of Statistics, 39, 613-642.
Zhang, C.M., Jiang, Y., and Chai, Y. (2010).
"Penalized Bregman divergence for large-dimensional regression and classification,"
Biometrika, 97, 551-566.
Zhang, C.M. and Yu, T. (2008).
"Semiparametric detection of significant activation for brain fMRI,"
Annals of Statistics, 36, 1693-1725.
- Hall, P., Minnotte, M.C., and Zhang, C.M. (2004).
"Bump hunting with non-Gaussian kernels,"
Annals of Statistics, 32, 2124-2141.
- Zhang, C.M. (2003).
"Calibrating the degrees of freedom for automatic data smoothing and effective curve checking,"
Journal of the American Statistical Association, 98, 609-628.
- Fan, J. and Zhang, C.M. (2003).
"A reexamination of diffusion estimators with applications to financial model validation,"
Journal of the American Statistical Association, 98, 118-134.
- Fan, J., Zhang, C.M., and Zhang, Jian (2001).
"Generalized likelihood ratio statistics and Wilks phenomenon,"
Annals of Statistics, 29, 153-193.
(correction, 2002, 30, 1811-1811.)
Students and collaborators
Teaching: STAT-609 (Fall 2023; Fall 2024); STAT-351 (Spring 2024)
- STAT-351 (Introductory Nonparametric Statistics).
- STAT-609 (Mathematical Statistics I).
- STAT-610 (Mathematical Statistics II).
- STAT-732 (Large Sample Theory of Statistical Inference)
- STAT-809 (Non-Parametric Statistics).