Xiang Zhan

Associate Professor
zhanx@bjmu.edu.cn
38 Xueyuan Rd., Haidian district, Beijing, China

Personal profile

2021.9-present, Department of Biostatistics, School of Public Health, Peking University, Associate Professor

2021.7-2021.9, Beijing International Center for Mathematical Research (BICMR), Peking University, Visiting Associate Professor

2017.7-2021.6, Department of Public Health Science, Penn State University, Assistant Professor

2015.8-2017.7, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Postdoctoral Scholar

2010.8-2015.8, Department of Statistics, Penn State University, PhD

2006.9-2010.7, Department of Probability & Statistics, School of Mathematical Sciences, Peking University, BS

Main research directions

Statistics, Statistical Genetics, Kernel methods, High-dimensional omics data analysis/inference

Representative scientific research projects

1. 2020.02-2021.06, Novel statistical methods for controlled variable selection of microbiome data. National Institutes of Health (USA)，PI.

2. 2020.05-2021.06, Collaborative Research: New Methods, Theory and Applications for Nonsmooth Manifold-Based Learning. National Science Foundation (USA), Co-PI

10 representative papers

1. Srinivasan, A.^, Xue, L.*, and Zhan, X.* (2021). Compositional knockoff filter for high-dimensional regression analysis of microbiome data. Biometrics, in press. doi: 10.1111/biom.13336.

2. Zhan, X.* Banerjee, K.^ and Chen, J* (2021). Variant‐set association test for generalized linear mixed model. Genetic Epidemiology, 42(4), 402-412.

3. Yang, S., Wen, J., Eckert, S. T., Wang, Y., Liu, D. J., Wu, R., Li, R. and Zhan, X.* (2020). Prioritizing genetic variants in GWAS with lasso using permutation-assisted tuning. Bioinformatics, 36(12), 3811-3817.

4. Banerjee, K.^, Zhao, N., Srinivasan, A., Xue, L., Hicks, S. D., Middleton, F. A., Wu, R. and Zhan, X.* (2019). An adaptive multivariate two-sample test with application to microbiome differential abundance analysis. Frontiers in Genetics, 10, 350.

5. Zhan, X.* and Wu, M. C.* (2018). A note on testing and estimation in marker-set association study using semiparametric quantile regression kernel machine. Biometrics, 74, 764–766.

6. Zhan, X., Xue, L., Zheng, H., Plantinga, A., Wu, M.C., Schaid, D.J., Zhao, N.* and Chen, J.* (2018). A small-sample kernel association test for correlated data with application to microbiome association studies. Genetic Epidemiology, 42, 772–782.

7. Zhan, X.*, Plantinga, A., Zhao, N. and Wu, M. C.* (2017). A fast small-sample kernel independence test for microbiome community-level association analysis. Biometrics, 73, 1453–1463.

8. Zhan, X.#, Tong, X.#, Zhao, N., Maity, A., Wu, M. C.* and Chen, J.* (2017). A small-sample multivariate kernel machine test for microbiome association studies. Genetic Epidemiology, 41, 210-220.

9. Zhan, X., Zhao, N., Plantinga, A., Thornton, T., Conneely, K., Epstein, M. P. and Wu, M. C.* (2017). Powerful genetic association analysis for common or rare variants with high dimensional structured traits. Genetics, 206, 1779–1790.

10. Zhan, X.*, Girirajan, S., Zhao, N., Wu, M. C., and Ghosh, D.* (2016). A novel copy number variants kernel association test with application to autism spectrum disorders studies. Bioinformatics, 32, 3603–3610.