中国人民大学统计与大数据研究院助理教授、博士生导师。2016年本科毕业于武汉大学数学与统计学院，2022年博士毕业于美国加州大学圣地亚哥分校数学学院并加入中国人民大学统计与大数据研究院。研究兴趣包括因果推断、半监督学习、高维统计分析、机器学习理论、缺失数据问题、精准医疗等。文章发表或接受于Biometrika、Annals of Statistics、Information and Inference等期刊。主持国家自然科学基金青年基金项目一项，参与面上项目一项。曾获美国统计协会非参数统计组最佳学生论文奖。

详见个人主页：https://yuqianruc.github.io/

Publications and Preprints:

Yuqian Zhang, Jelena Bradic (2022). High-dimensional semi-supervised learning: in search of optimal inference of the mean. Biometrika, 109(2), 387-403.

Yuqian Zhang*, Abhishek Chakrabortty*, Jelena Bradic* (2023). Double Robust Semi-Supervised Inference for the Mean: Selection Bias under MAR Labeling with Decaying Overlap. Information and Inference: A Journal of the IMA, 12(3), 2066-2159.

Jelena Bradic#, Weijie Ji#, Yuqian Zhang# (2024). High-dimensional inference for dynamic treatment effects. arXiv preprint arxiv:2110.04924. Accepted by The Annals of Statistics.

Yuqian Zhang, Weijie Ji, Jelena Bradic (2021). Dynamic treatment effects: high-dimensional inference under model misspecification. arXiv preprint arxiv:2111.06818.

Yuqian Zhang*, Abhishek Chakrabortty*, Jelena Bradic* (2023). The Decaying Missing-at-Random Framework: Doubly Robust Causal Inference with Partially Labeled Data. arXiv preprint arXiv:2305.12789.

Kai Chen, Yuqian Zhang (2023). Enhancing efficiency and robustness in high-dimensional linear regression with additional unlabeled data. arXiv preprint arXiv:2311.17685.

Yuqian Zhang, Weijie Ji, Jelena Bradic (2024). Adaptive Split Balancing for Optimal Random Forest. arXiv preprint arXiv:2402.11228.

(# alphabetical order, * co-first author, __ supervised student)