Li Bingjie

Bio

Dr. Li Bingjie is an Assistant Professor at The Shanghai Institute for Mathematics and Interdisciplinary Sciences (SIMIS). His research focuses on the interdisciplinary fields of mathematics, statistics, clinical medicine, and public health. He specializes in developing theories and cutting-edge algorithms in statistics and machine learning, with particular expertise in manifold learning and fitting applications in biology and medicine. His work bridges theoretical foundations in computational mathematics with practical applications in biomedical data analysis, including single-cell analysis, metabolomics, and disease prediction models.

Education Experience

• 2015.9-2021.6  Zhejiang University  Computational Mathematics  Ph.D.
• 2011.9-2015.6  Wuhan University  Basic Mathematics  B.Sc.

Work Experience

• 2025.7-Present  The Shanghai Institute for Mathematics and Interdisciplinary Sciences  Assistant Professor
• 2021.12-2025.6  National University of Singapore  Postdoctoral Research Fellow

Honors and Awards

Publications

1. B. Li, J. Su, R. Lin, S.-T. Yau, and Z. Yao, “Manifold fitting reveals metabolomic heterogeneity and disease associations in uk biobank populations,” Proceedings of the National Academy of Sciences, vol. 122, no. 22, e2500001122, 2025.
2. Z. Yao, B. Li, Y. Lu, and S.-T. Yau, “Single-cell analysis via manifold fitting: A framework for rna clustering and beyond,” Proceedings of the National Academy of Sciences, vol. 121, no. 37, e2400002121, 2024.
3. Z. Zhang and B. Li, “Global understanding via local extraction for data clustering and visualization,” Patterns, 101266, 2025.