2021年获东北师范大学理学博士学位，乔治华盛顿大学访问学者，现任北京师范大学Y3国际统计系讲师，硕士生导师。主持国家自然科学基金青年科学基金项目一项。

工作经历

2021.10-至今， 北京师范大学珠海校区

研究方向

高维统计推断、大维随机矩阵理论

科研项目

1. 国家自然科学基金青年项目；2024-2026；主持

2. 国家自然科学基金面上项目；2024-2027；参与

发表论文

1. Wang, X. and Zhou, N. (2026). The integrated test for high-dimensional correlation matrices. Journal of Systems Science & Complexity, accept.

2. Rao, H., Yang, W., Shi, H., Zhou, N., and Wang, X.(2026). Multiplier bootstrap tests for high-dimensional quantile regression. Statistical Papers, 67(82).

3. Huang, Q., Wang, X., Tong, X., Li, M. and Sun, J. (2026). Estimation of the change-point Cox proportional hazards model based on case-I interval-censored data, Computational Statistics, 41(1), 24.

4. Wang, Q., Lin, R., Wang, X., and Chen, J. (2026). An integrated test on the linear structure of high-dimensional covariance matrices, Random Matrices: Theory and Applications, 15(01), 2550027.

5. Lai, J., Wang, X., Zhao, K. and Zheng, S. (2023). Block-diagonal test for high-dimensional covariance matrices, TEST 32 (1), 447-466.

6. Wang, X., Xu, G. and Zheng, S. (2023). Adaptive tests for bandedness of high-dimensional covariance matrices, Statistica Sinica 33, 1673-1696.

7. Wang, X., Liu, B. Shi, NZ, Tian GL, and Zheng, S. (2021). Global one-sample tests for high-dimensional covariance matrices, Journal of Statistical Computation and Simulation 91 (10), 2051-2073.

8. Chen, J., Wang, X., Zheng, S. Liu, B. and Zhi, NZ. (2020). Tests for high-dimensional covariance matrices, Random Matrices: Theory and Applications 9 (03), 2050009.

教学工作

本科生： 应用多元统计分析

研究生： 多元统计分析、数据可视化