Educational Background
Doctor Degree,Statistics,Peking University
Bachelor Degree,Mathematics & Applied Mathematics,Tsinghua University
Awards on Research
2025.06,2025 ICSA China Conference Junior Researcher Award,International Chinese Statistical Association
Journal Papers
| 3. | Lingxuan Shao and Fang Yao. 2025. Dynamic principal component analysis from a global perspective. Bernoulli 31(1) 649–670. ![]() |
| 4. | Lingxuan Shao, Zhenhua Lin, and Fang Yao. 2022. Intrinsic Riemannian functional data analysis for sparse longitudinal observations. The Annals of Statistics 50(3) 1696-1721. ![]() |
| 5. | Lingbing He, Jie Ji, and Lingxuan Shao. 2021. Lower bound for the Boltzmann equation whose regularity grows tempered with time. Kinetic and Related Models 14(4) 705-724. ![]() |
Research Projects
2025.05—2027.04, Principal Investigator, GMS新品开发数据建模研究项目第二阶段, Penmex (Shanghai) International Trading Co., Ltd.
2025.01—2027.12, Principal Investigator, Statistical Modeling and Inference for Functional Data Driven by ODE Mechanism, National Natural Science Foundation of China
2025.01—2028.12, Member, Research on Statistics for Extremes Based on Privacy Protection, National Natural Science Foundation of China
2024.10—2027.09, Principal Investigator, Robust Analysis for Discretely Observed Functional Data, Shanghai Municipal Science and Technology Committee
2024.05—2024.06, Principal Investigator, GMS Data Modeling for New Product Development, Penmex (Shanghai) International Trading Co., Ltd.
Academic Posts
2024.04—,理事,全国工业统计学教学研究会青年统计学家协会
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