The China Postdoctoral Science Foundation has recently announced the results of the 77th batch (2025) of its General Program funding review. Two projects led by our postdoctoral fellows have been successfully awarded funding: “Sufficient Dimension Reduction via Machine Learning: Theory and Methods” by Dr. Shuang Dai, and “Adaptive Statistical Inference for High-Dimensional Covariance Matrices” by Dr. Xiaoxu Zhang.
The China Postdoctoral Science Foundation, established in 1985 at the initiative of Nobel laureate Prof. Tsung-Dao Lee and under the direction of Deng Xiaoping, is a national research fund dedicated to supporting postdoctoral researchers. Its mission is to foster innovative research conducted by promising and creative young scholars during their postdoctoral tenure, with the goal of cultivating a new generation of high-level, innovative talent.
Dr. Shuang Dai earned her Doctor of Science degree from East China Normal University in June 2024. She began her postdoctoral research at the Institute of Mathematics and Systems Science, Chinese Academy of Sciences in July 2024. Her research interests include nonparametric statistical inference, high-dimensional data analysis, and functional data analysis.
Dr. Xiaoxu Zhang received her Doctor of Science degree from the School of Mathematics and Statistics at Northeast Normal University in June 2024. She has been engaged in postdoctoral research at the Institute of Mathematics and Systems Science, Chinese Academy of Sciences since July 2024. Her primary research focuses on high-dimensional hypothesis testing.
