2014年本科毕业于人民大学统计学院， 2022年博士毕业于乔治华盛顿大学统计学专业。毕业后加入中国人民大学统计与大数据研究院任助理教授、博士生导师、准聘副教授。研究兴趣包括：复杂场景下的自适应试验设计，临床试验设计与分析、业界A/B试验设计。

个人主页：https://louisliustatruc.github.io/YangLiuStatRuc.github.io/

科研项目：

1. 协变量自适应试验中的不可观测变量与异质性问题，国家自然科学基金青年科学基金项目(C类)，项目批准号12301324，主持，2024-2026

2. 复杂高分层数试验场景下的协变量自适应随机化与统计推断，国家自然科学基金面上项目，主持，项目批准号1267010832，主持，2027-2030

校企合作：

1.履约场景下可靠A/B试验的设计与分析-平衡地域差异与减小溢出效应的影响，北京三快在线科技有限公司（美团），2023.12-2024.12

2.小时级轮转实验下消除携带效应偏差的可靠实验设计与评估，北京三快在线科技有限公司（美团），2024.12-2026.09.

Selected Publications (* for students)

Covariate-Adaptive Randomization:

1.Liu, Y., Xia, L., and Hu, F. (2025+). Statistical inference with mixed-effect model for covariate-adaptive randomized experiment. Journal of the American Statistical Association, (minor revision).

2.Qin, Z., Hu, F., and Liu, Y. (2025+). To adaptively randomize or to rerandomize: A comparison of covariate-adaptive randomization and rerandomization. Statistica Sinica, (accepted).

3.Fu, R.*, and Liu, Y. (2025+). Statistical inference with generalized estimating equations in longitudinal studies following covariate-adaptive randomization. Statistica Sinica, (accepted).

4.Liu, Y., and Hu, F. (2022) Balancing Unobserved Covariates with Covariate-Adaptive Randomized Experiments. Journal of the American Statistical Association 117(538), 875-886.

5.Liu, Y., & Hu, F. (2023). The Impacts of Unobserved Covariates on Covariate-Adaptive Randomized Experiments. The Annals of Statistics, 51(5), 1895-1920.

6. Liu, Y., Xia, L., and Hu, F. (2025). Testing Heterogeneous Treatment Effect with Quantile Regression under Covariate-Adaptive Randomization. Journal of Econometrics, 249,105808.

7.Zhao, F., Liu, Y., and Hu, F. (2025). Statistical Inference on the relative risk following covariate-adaptive randomization. Biometrics, 81(2) 1-12.

8.Guo, Z., Liu, Y., and Xia, L. (2025). Covariate Selection for Optimizing Balance with Covariate-Adjusted Response-Adaptive Randomization. Statistical Methods in Medical Research. 0(0) 1-29.

Adaptive A/B tests:

1.Liu, Y., Zhou, Y., Li, P., & Hu, F. (2022). Adaptive A/B test on Networks with Cluster Structures. In International Conference on Artificial Intelligence and Statistics (pp. 10836-10851). PMLR.

2. Liu, Y., Zhou, Y., Li, P., and Hu, F. (2024). Cluster-Adaptive Network A/B Testing: From Randomization to Estimation. Journal of Machine Learning Research, 25 (170), 1-48.

Statistical Applications:

1.Liu, Y. , and Gastwirth, J. L. (2020). On the Capacity of the Gini Index to Represent Income. Distributions. METRON, 78(1), 61-69.

2. Oviedo, R. J., Nayak, T., Liu, Y., Zhang, S., and Zhao, F. (2021). Laparoscopic Duodenal Switch Versus Roux-en-Y Gastric Bypass at a High-Volume Community Hospital: a Retrospective Cohort Study from a Rural Setting. Obesity Surgery, 31(2), 659-666.