Personal Profile
Nan Sun received her B.S. in Mathematics from Dalian University of Technology in 2019 and her Ph.D. in Mathematics from Tsinghua University in 2024. After completing her doctorate, she conducted postdoctoral research at the YMSC, Tsinghua University, and at BIMSA. She is currently an Assistant Professor at the Hetao Institute of Mathematics and Interdisciplinary Sciences (Shenzhen) (HIMIS). Her research focuses on bioinformatics, machine learning and applied mathematics. She has published multiple papers in leading journals such as The Innovation, Computational and Structural Biotechnology Journal, and BMC Bioinformatics. She has participated in several research projects funded by the NSFC and the BNSF, and is the Principal Investigator of the 78th China Postdoctoral Science Foundation General Program.
Research Interests
Bioinformatics, Machine Learning, Applied Mathematics
Educational background
2019-2024 Ph.D. in Mathematics, Tsinghua University (Advisor: Prof. Stephen S.-T. Yau)
2015-2019 B.S. in Information and Computing Science, Dalian University of Technology
Work experience
2024-2026 Postdoc at YMSC, Tsinghua University and at BIMSA (Mentor: Prof. Stephen S.-T. Yau)
Publications: Journal articles
Nan Sun, Yu Wang, Xiang Shi, Dengcheng Yang, Rongling Wu##, and Stephen S.-T. Yau#. scMFF: A Machine Learning Framework with Multiple Features Fusion Strategies for Cell Type Identification. BMC Bioinformatics (2025): 277.
Nan Sun, Mengcen Guan, Piyu Zhou, Stephen S.-T. Yau#. scKSFD: federated distillation model with knowledge sharing for cell type classification with clinical transcriptome data. (Accepted by BMC Bioinformatics)
Xiang Shi, Jiayi Kang, Nan Sun, Xin Zhao, and Stephen S.-T. Yau#, Multi-perspective Natural Vector: A Novel Method for Viral Sequence Feature Extraction, Journal of Computational Biology (2026): 255-266.
Hongyu Yu*, Nan Sun*, Ruohan Ren*, Tao Zhou*, Mengcen Guan*, Leqi Zhao*, Stephen S.-T. Yau#. The Grand Biological Universe: A Comprehensive Geometric Construction of Genome Space. The Innovation (2025): 100937.
Mengcen Guan*, Nan Sun*, and Stephen S-T. Yau#. Geometric analysis of SARS-CoV-2 variants. Gene (2024): 148291.
Harris Song*, Nan Sun*, Wenping Yu, and Stephen S.-T. Yau#. A novel natural graph for efficient clustering of virus genome sequences. Current Bioinformatics (2023): 687-703.
Meng Fang*, Jiawei Xu*, Nan Sun and Stephen S.-T. Yau#. Generating minimal models of H1N1 NS1 gene sequences using alignment-based and alignment-free algorithms. Genes (2023): 186.
Nan Sun and Stephen S.-T. Yau#. In-depth investigation of the point mutation pattern of HIV-1. Frontiers in Cellular and Infection Microbiology (2022): 1033481.
Nan Sun, Xin Zhao and Stephen S.-T. Yau#. An efficient numerical representation of genome sequence: natural vector with covariance component. PeerJ (2022): e13544.
Nan Sun, Jie Yang and Stephen S.-T. Yau#. Identification of HIV rapid mutations using differences in nucleotide distribution over time. Genes (2022): 170.
Nan Sun*, Shaojun Pei*, Lily He, Changchuan Yin, Rong Lucy He and Stephen S.-T. Yau#. Geometric construction of viral genome space and its applications. Computational and Structural Biotechnology Journal (2021): 4226-4234.
Nan Sun*, Rui Dong*, Shaojun Pei, Changchuan Yin and Stephen S.-T. Yau#. A new method based on coding sequence density to cluster bacteria. Journal of Computational Biology (2020): 1688-1698.