Recently, the Office of the National Postdoctoral Management Committee and the China Postdoctoral Science Foundation(CPSF) announced the evaluation results of the 2025 Postdoctoral Fellowship Program of CPSF. The project “Research on Sufficient Dimension Reduction Theory and Algorithms under Complex Data Conditions” led by postdoctoral fellow Shuang Dai has been approved for the Postdoctoral Fellowship Program of CPSF (Band C).
The Postdoctoral Fellowship Program of CPSF is a key talent initiative established by the Chinese government to strengthen the training of postdoctoral researchers. It provides tiered funding across three bands (A, B, and C), with all grants spanning a two-year period. The program aims to select outstanding postdoctoral researchers with innovative potential and support their explorations in fundamental research and cutting-edge technologies.
Shuang Dai obtained her Ph.D. in Statistics from East China Normal University in June 2024. In the same month, she joined the Academy of Mathematics and Systems Science (AMSS), Chinese Academy of Sciences to conduct postdoctoral research. Her primary research focuses on high-dimensional data analysis and functional data analysis.
