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。研究兴趣包括：自适应试验设计，临床试验设计与分析、业界A/B试验设计。

Selected Publications

Covariate-Adaptive Randomization:

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

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

3. Liu, Y., Xia, L., and Hu, F. (2024). Testing Heterogeneous Treatment Effect with Quantile Regression under Covariate-Adaptive Randomization. Journal of Econometrics (In revision).

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 (Accept).

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.