教育经历

数理统计学博士                2017年9月 –2022年6月    中国科学院数学与系统科学研究院      北京，中国

统计学学士                   2013年9月 – 2017年6月    南开大学                     天津，中国

工作经历

助理教授                2026年9月至今    统计与数据科学系，清华大学      北京，中国

博士后研究员        2022年9月–2026年8月    生物统计系, 哈佛大学     波士顿，美国  合作导师: 林希虹

研究领域

• 数据融合          • 大规模数据分析

• 因果作用的识别与推断  • 两阶段抽样

• 孟德尔随机化       • 机器学习理论

已发表文章

(¹ 共同第一作者^{; ∗} 通讯作者)

1. Wang, R., Wang Q.∗, and Miao, W. (2023), A robust fusion-extraction procedure with summary statistics in the presence of biased sources. Biometrika, 110, 1023–1040.

2. Wang, R., Su, M., and Wang, Q.∗ (2023), Distributed nonparametric imputation for missing response problems with massive data. Journal of Machine Learning Research, 68, 1–52.

3. Hu, W.¹, Wang, R.¹, Li, W.∗, and Miao, W.∗ (2026), Semiparametric efficient fusion of individual data and summary statistics. Journal of the American Statistical Association: T&M, in press. arXiv:2210.00200.

4. Wang, R., and Wang, Q.∗ (2021), Determination and estimation of optimal quarantine duration for infectious diseases with application to data analysis of COVID-19. Biometrics, 78, 691–700.

5. Su, M. and Wang, R.∗ (2026), Moment-assisted subsampling method for Cox proportional hazards model with large-scale data. Journal of Computational and Graphical Statistics, in press, arXiv:2501.06924.

6. Wang, R., Wang, Q.∗, Miao, W., and Zhou, X. (2024), Sharp bounds for variance of treatment effect estimators in the finite population in the presence of covariates. Statistica Sinica, 34, 999–1021.

7. Su, M. and Wang, R.∗ (2025), Subsampled one-step estimation for fast statistical inference.Scandinavian Journal of Statistics, 52, 2187–2208.

8. Wang, R., Wang Q.∗, and Miao, W. (2025), A maximin optimal approach for sampling designs in two-phase studies. Statistica Sinica, in press. arXiv:2312.10596.

9. Wang, R.¹, Yi, M.¹, Chen, Z., and Zhu, S. (2022), Out-of-distribution generalization with causal invariant transformations. IEEE Conference on Computer Vision and Pattern Recognition, 375–385.

10. Yi, M.¹, Wang, R.¹, and Ma, Z. (2022), Characterization of excess risk for locally strongly convex population risk. Advances in Neural Information Processing Systems 36.

11. Yi, M., Wang, R., Sun, J., Li, Z., and Ma, Z. (2023), Breaking correlation shift via conditional invariant regularizer. In Proceedings of the 11th International Conference on Learning Representations.

12. Yang, H., Liu, Z., Wang, R., Lai, E., Schwartz, J., Baccarelli, A., Huang, Y. and Lin, X.∗ (2025), Causal mediation analysis for integrating exposure, genomic, and phenotype data. Annual Review of Statistics

and Its Application, 12, 337–360.

13. Su, M.¹, Wang, R.¹, and Wang, Q.∗ (2022), A two-stage optimal subsampling estimation for missing data problems with large-scale data. Computational Statistics and Data Analysis, 173.

14. Wang, Q., Su, M.∗, and Wang, R. (2021), A beyond multiple robust approach for missing response problem. Computational Statistics and Data Analysis, 155.

15. Miao, W. ∗, Li, W., Hu, W., Wang, R., and Geng, Z. (2021), Invited commentary: Estimation and bounds under data fusion. American Journal of Epidemiology, 191, 674–678.