EDUCATION
Ph.D in Probability and Mathematical Statistics Sept, 2017 –Jun, 2022 Academy of Mathematics and Systems Science (AMSS),Chinese Academy of Sciences Beijing, China
Bachelor in Statistics Sept, 2013 – Jun, 2017 Nankai University Tianjin, China
WORK EXPERIENCE
Assistant Professor Sept, 2026 – Present Department of Statistics and Data Science, Tsinghua University Beijing, China
Postdoctoral Fellow Sept, 2022 – Aug, 2026 Department of Biostatistics, Harvard University Boston, United States Advisor: Xihong Lin
RESEARCH AREAS
•Data Fusion • Large-scale Data Analysis
•Causal Identification and Inference • Two-phase Sampling
•Mendelian Randomization • Machine Learning Theory
PEER-REVIEWED PUBLICATIONS
(1Equalcontribution;∗Correspondingauthor)
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.
