I am Professor of Statistics, Department of Statistics and Finance, School of Management, University of Science and Technology of China (USTC).

I received my Bachalar’s degree in mathematics and Ph.D. degree in statistics from USTC in 1997 and 2003, respectively. Before joining USTC in June 2018, I worked as a professor in the Institute of Biostatistics of Fudan University and received postdoctoral training in Department of Statistics of the George Washington University, Yale School of Medicine, and National Cancer Institute of NIH.

Contact information

Hong Zhang

Department of Statistics and Finance, School of Management, University of Science and Technology of China

Room 1031, management R&D building, east campus of USTC

96 Jinzhai Road, Hefei, Anhui 230026, People’s Republic of China

Phone: +86-551-63601890

E-mail: zhangh@ustc.edu.cn

Homepage: http://staff.ustc.edu.cn/~zhangh


My current research interests include computational statistics, biomedical big data, and statistical genetics.

Selected grants supporting my research:

  • National Natural Science Foundation of China, “Statistical Methods for Analyzing High-Throughput Next-Generation Sequencing Data”, 2018/1-2021/12, No. 11771096 (Principal Investigator).

  • National Natural Science Foundation of China, “Statistical Methods in Genomewide DNA Methylation Studies”, 2014/1-2017/12, No. 11371101. (Principal Investigator).

  • The National Key Basic Research and Development Plan, “New Theories, Methods, and Applications in Statistical Genetics for Next-Generation Sequencing”, 2012/1-2016/8. (Investigator).

  • National Natural Science Foundation of China, “Some Issues in Association Analysis in Human Genetics”, 2008/1-2010/12. (Principal Investigator).

PostDoc Recruitment

I am seeking applications from qualified candidates for post-doctoral research. See Chinese advertisement for details.


I have developped some R packages accopaning my published papers, refer to my Github repositories.



Li Z, Qin H, Zhang H (2006). Statistical Methods in Genetics. Scientific Publisher of China, Beijing.

Selected peer-reviewed journal articles (*co-first author, #correspoinding author)

  • Zhang H, Chatterjee, Rader D, Chen J# (2018). Adjustment of non-confounding covariates in case-control genetic associaiton studies. Annals of Applied Statistics 12(1): 200-221.

  • Zhou B, Wen S, Wang L, Jin L, Li H, Zhang H# (2017). AntCaller: An accurate variant caller incorporating ancient DNA damage. Molecular Genetics and Genomics 292(6): 1419-1430. (Zhou B is my Ph.D. student.)

  • Wang C, Shen Q, Du L, Xu J, Zhang H# (2016). armDNA: A functional beta model for detecting age-related genomewide DNA methylation marks. Statistical Methods in Medical Research DOI: 10.1177/0962280216683571. (Wang C was my Ph.D. student.)

  • Kang G, Du L, Zhang H# (2016). multiDE: A dimension reduced model based statistical method for differential expression analysis using RNA-sequencing data from multiple conditions. BMC Bioinformatics 17: 248. (Kang G was my graduate student.)

  • Shen Q, Hu J, Jiang N, Hu X, Luo Z, Zhang H#(2016). contamDE: Differential expression analysis of RNA-seq data for contaminated tumor samples. Bioinformatics 32(5): 705-712. (Shen Q was my Ph. D. student.)

  • Hu J, Li T, Xiu Z, Zhang H# (2015). MAFsnp: A Multi-sample Accurate and Flexible SNP Caller Using Next-generation Sequencing Data. PLoS ONE 10(8): e0135332. doi:10.1371/journal.pone.0135332. (Hu J was my Ph. D. student.)

  • Zhang H#, Xu J, Jiang N, Hu X, Luo Z (2015). PLNseq: a multivariate Poisson lognormal distribution for high-throughput matched RNA-sequencing read count data. Statistics in Medicine 34: 1577-1589.

  • Zhang H, Qin J, Landi M, Caporaso N, Yu K (2013). A copula-model based semiparametric interaction test under the case-control design. Statistica Sinica. 23: 1505-1521

  • Zhang H, Zeng D, Olschwangd S, Yu K (2013). Semiparametric inference on the penetrances of rare genetic mutations based on a case-family design. Journal of Statistical Planning and Inference. 143: 368-377.

  • Zhang H, Wacholder S, Qin J, Hildesheim A, Yu K (2011). Improved genetic association tests for an ordinal outcome representing the disease progression process. Genetic Epidemiology. 35: 499-505.

  • Li T, Li Z, Ying Z, Zhang H#. (2010). Influence of population stratification on population based marker-disease association analysis. Annals of Human Genetics. 74:351-360.

  • Zhang H, Olschwang S, Yu K. (2010). Statistical inference on the penetrances of rare genetic mutations based on a case-family design. Biostatistics. 11:519-532.

  • Zhang H, Chen H, Li Z. (2009). Large sample interval mapping method for genetic trait loci in finite regression mixture models. Journal of Statistical Planning and Inference. 139:764-779.

  • Yan T, Yang Y, Cheng X, DeAngelis MM, Hoh J, Zhang H# (2009). Genotypic association analysis using discordant-relative-pairs. Annals of Human Genetics. 73:84-94.

  • Chen K\(^*\), Ying Z\(^*\), Zhang H\(^*\), Zhao L\(^*\) (2008). Analysis of least absolute deviation. Biometrika. 95:107-122.

  • Zhang Han, Zhang Hong#, Li Zhaohai, Zheng Gang (2007). Statistical methods for haplotype-based matched case-control association studies. Genetic Epidemiology. 31: 316-326.

  • Zhang H, Zheng G, Li Z (2006). Statistical analysis for haplotype-based matched casecontrol studies. Biometrics, 62:1124-1131.