Name: Gao Hanjia
Title: Assistant Professor
Research direction: High dimensional statistical methods, nonparametric statistical inference, time series analysis, text data analysis
Professor Course: Statistical Theory and Methods
E - mail： gaohanjia@mail.sufe.edu.cn
Research Field
Statistical analysis and evaluation of high-dimensional and non parametric statistical inference, time series change point analysis, non Euclidean time series analysis, text data modeling and inference, and large language model inference abilities
Educational Background
2019.08-2024.08 Ph.D. in Statistics, University of Illinois at Urbana Champaign, USA
2014.09-201.06 Bachelor of Mathematics and Applied Mathematics, School of Mathematical Sciences, Fudan University
Work Experience
August 2026 present - Assistant Professor, School of Statistics and Data Science/Big Data Research Institute, Shanghai University of Finance and Economics
2024.08-2026.08 Postdoctoral Fellow in the Department of Statistics, University of California, Irvine, USA
Research Achievement
1. Hanjia Gao, Yi Zhang, and Xiaofeng Shao. (2026)‘A New Approach to Statistical Inferencefor Functional Time Series’, Journal of Time Series Analysis,47(3),675-686.
2. Hanjia Gao, Runmin Wang, and Xiaofeng Shao. (2025) ‘Dimension-Agnostic Change PointDetection’,Journal of Econometrics, 250, 106012.
3. Feiyu Jiang, Hanjia Gao, and Xiaofeng Shao. (2024) ‘Testing Serial Independence ofObject-ValueTime Series’, Biometrika, 111(3), 925-944.
4. Hanjia Gao and Xiaofeng Shao. (2023) ‘Two-Sample Testing in High Dimension viaMaximumMean Discrepancy’, Journal of Machine Learning Research, 24(304), 1-33.
5. Hanjia Gao, Zhengjian Bai, Weiguo Gao, and Shuqin Zhang. (2021) ‘PenalizedRegression-BasedBicluster Localization’, Pattern Recognition, 117, 107984.
Rewards and honors
2024 Horace W. Norton Prize for Outstanding Research in Statistics(Co-winner), Department of Statistics, UIUC
