李冰杰

个人简介

李冰杰博士现任上海数学与交叉学科研究院助理教授。2021年获浙江大学计算数学博士学位，随后在新加坡国立大学从事博士后研究工作。主要研究方向为统计机器学习、流形学习及其在生物医学中的应用。致力于发展无监督学习的理论与算法，并将其应用于单细胞分析、代谢组学和疾病预测等生物医学问题。

教育经历

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

工作经历

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

荣誉和获奖

论著

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.