• 姓名:
  • 职位:
  • 电话:
  • 邮件:
  • 所属单位:
  • 主要专业方向:
  • 张洪
  • 教授
  • +86-551-63601890
  • zhangh@ustc.edu.cn
  • 统计与金融系
  • 概率与统计
English


学习经历

2001.2-2003.12,中国科大统计与金融系概率论与数理统计专业(导师:应志良教授、赵林城教授),获理学博士学位。

1997.9-2000.6,中国科大数学系应用数学专业(导师:赵林城教授),获理学硕士学位。

1993.9-1997.6,中国科大数学系计算数学及其应用软件专业,获理学学士学位。

 

工作经历

2018.6至今,中国科大统计与金融系,教授、博导。

2011.2-2018.5,复旦大学生物统计学研究所,研究员、博导。

2000.7-2011,中国科大统计与金融系,助教/讲师。

 

博士后研究

2009.1-2010.12,美国NIH国立癌症研究所(postdoctoral visiting fellow)

2006.8-2007.11,耶鲁大学医学院(postdoctoral associate)

2004.3-2005.4,乔治华盛顿大学统计系(postdoctoral scientist)


主要研究方向

医学大数据分析、遗传统计。


研究成果

在Biometrika、Biometrics、Bioinformatics、Annals of Applied Statistics、Statistics in Medicine、Statistica Sinica、Biostatistics、 Computational Statistics & Data Analysis 、 Proceedings of the National Academy of Sciences(PNAS)、Human Molecular Genetics、NeurIPS等国内外统计学期刊/会议上发表论文90多篇,获得逾千次引用,其中大部分为他引(谷歌学术检索)。

 

 

部分研究项目

  1. 基于核心家庭全基因组关联研究的亲源效应分析,国家自然科学基金面上项目,12171451,51万,2022.1.1-2025.12.31,主持人

  2. 平台供应链的统计学习方法研究,国家自然科学基金重大项目(课题二),72091212,248万,2021.1-2025.12,专题负责人

  3. 基于新一代高通量测序数据的若干统计方法学研究,国家自然科学基金面上项目,11771096,48万,2018.1.1-2021.12.31,主持人

  4. 基于新一代测序数据的统计遗传学新理论、方法与应用,973项目(课题五),2012CB316505, 约900万,2012.1.1-2016.8.31,课题骨干

  5. 全基因组DNA甲基化研究中的统计学方法,国家自然科学基金面上项目,11371101, 50万,2014.1.1-2017.12.31,主持人

  6. 人类基因关联分析的若干问题,国家自然科学基金青年项目,10701067, 15万,2008.1.1-2010.12.31,主持人

 

研究生培养

截至到2019年已经培养了4名博士和3名硕士:

沈琦(复旦大学博士),2011.9-2015.6,目前为美国哥伦比亚大学欧文医学中心神经病学系副研究科学家。

胡继媛(复旦大学博士),2011.9-2016.6,目前为纽约大学医学院生物统计学助理教授。

王晨阳(复旦大学博士),2012.9-2017.6,目前在燃石医学(上海)从事精准医学的研究工作。

周博言(复旦大学博士),2014.9-2019.6,目前在纽约大学从事博士后研究。

康光梁(复旦大学硕士),2013.9-2016.6,目前在阿里巴巴(杭州)从事大数据分析工作。

杜理(复旦大学硕士),2014.9-2017.6,目前在哈尔滨工业大学计算机学院攻读博士学位。

吉一凡(复旦大学硕士),2016.9-2019.6,目前在普华永道管理咨询(上海)有限公司工作。

 

研究生招生

欢迎对研究有热情、具有扎实数理基础的本科生报考本人的博士研究生。

 

部分论文列表(更多论文列表见https://www.researchgate.net/profile/Hong-Zhang-21):

26. Zhang H#, Mukherjee B, Arthur V, Hu G, Hochner H, Chen J# (2020). An Efficient and Computationally Robust Statistical Method for Analyzing Case-Control Mother-Offspring Pair Genetic Association Studies. Annals of Applied Statistics 14: 560-584.

25. Ji Y, Yu C, Zhang H# (2020). contamDE-lm: Linear model based differential gene expression analysis using next-generation RNA-seq data from contaminated tumor samples. Bioinformatics 36: 2492-2499.

24. Yu C, Chen F, Jiang J, Zhang H#, Zhou M# (2019). Screening key genes and signaling pathways in colorectal cancer by integrated bioinformatics analysis. Molecular Medicine Reports 20: 1259-1269.

23. Lyu T, Ying Z, Zhang H# (2019). A new semiparametric transformation approach to disease diagnosis with multiple biomarkers. Statistics in Medicine 38:1386-1398.

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

21. Wang C, Shen Q, Du L, Xu J, Zhang H# (2018). armDNA: A functional beta model for detecting age-related genomewide DNA methylation marks. Statistical Methods in Medical Research 27: 2627-2640.

22. 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.

19. Kang G, Du L, Zhang H# (2016). multiDE: a dimension reduced model based statistical method for differential expression analysis using RNA-sequencing data with multiple treatment conditions. BMC Bioinformatics 17: 248.

18. Shen Q, Hu J, Jiang N, Hu X, Luo Z, Zhang H# (2016). contamDE: Difierential expression analysis of RNA-seq data for contaminated tumor samples. Bioinformatics 32(5): 705-712.

17. 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. 

16. 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.

15. 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.

14. Zhang H, Zeng D, Olschwang 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.

13. 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.

12. Zhang H, Ahn J, Yu K (2011). Comparing statistical methods for removing seasonal variation from vitamin D measurements in case-control studies. Statistics and Its Interface. 4:85-93.

11. 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.

10. 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.

9. Wu C*, Zhang H*, Liu X, DeWan A, Dubrow R, Ying Z, Yang Y, Hoh J (2009). Detecting essential and removable interactions in genome-wide association studies. Statistics and Its Interface 2:161-170.

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

7. 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.

6. Francis P*, Zhang H*, DeWan A, Hoh J, Klein M (2008). Joint e ects of polymorphisms in the HTRA1, LOC387715/ARMS2, and CFH genes on AMD in a Caucasian population. Molecular Vision 14:1395-1400.

5. Zhang H, Morrison MA, DeWan A, Adams S, Andreoli M, Huynh N, Regan M, Brown A, Miller JW, Kim IK, Hoh J, DeAngelis MM (2008). The NEI/NCBI dbGAP database: Genotypes and haplotypes that may specifically predispose to risk of neovascular age-related macular degeneration. BMC Medical Genetics 9:51.

4. Chen K*, Ying Z*, Zhang H*, Zhao L* (2008). Analysis of least absolute deviation. Biometrika 95(1):107-122.

3. Zhang H, Chen H, Li Z. (2008). An explicit representation of the limit of the LRT for interval mapping of quantitative trait loci. Statistics and Probability Letters 78:207-213.

2 Zhang Han, Zhang Hong#, Li Zhaohai, Zheng Gang (2007). Statistical methods for haplotype-based matched case-control association studies. Genetic Epidemiology. 31(4):316-326.

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

 

扫码浏览