Group: Statistics, Probability and Data Science
Email: fantasys05227@bimsa.cn
Research Field: Computational Biology, Complex System
Biography
Dr.Dong received his education in Biotechnology and Silviculture at Zhejiang A&F University in 2018, then earned his Ph.D. at Beijing Forestry University in 2023. He is broadly interested in the role that network theory plays in paradigm shift in the life sciences, his current research lies at the area of statistical modelling and computer programming. He is working on how to fully utilize existing data to build a network which can analysis the detailed regulatory relationship between genes during the complicated biological process and how to make this idea come true. He also uses computer simulation that allows exploration and verification of design model parameters in multiple scenarios, and helps to further improve and understand the model as well as the complex systems.
Education Experience
- - Beijing Forestry University Computational Biology and Bioinformatics Ph.D
Publication
- [1] Li Feng, Huiying Gong, Shen Zhang, Xiang Liu, Yu Wang, Chengwen Xue, Christopher H. Griffin, Jie Wu, Shing-Tung Yau, and Rongling Wu, Hypernetwork modeling and topology of high-order interactions for complex systems, PNAS, 121(40), e2412220121 (2024)
- [2] Ang Dong, Shen Zhang, Shuang Wu, Christopher H. Griffin, Claudia Gragnoli, Jie Wu, Shing-Tung Yau, and Rongling Wu, The experimental statistical mechanics of plant grafting, submitted to Physics of Life Reviews (2024)
- [3] Shuang Wu, Xiang Liu, Ang Dong, Claudia Gragnoli, Christopher Griffin, Jie Wu, Shing-Tung Yau, and Rongling Wu, The metabolomic physics of complex diseases, Proceedings of the National Academy of Sciences of the United States of America, 120(2023), 42, e2308496120
- [4] Ang Dong, Shuang Wu, Jincan Che, Yu Wang, and Rongling Wu, IdopNetwork: A network tool to dissect spatial community ecology, Methods in Ecology and Evolution, 14(9), 2272-2283 (2023)
- [5] Mengmeng Sang, Li Feng, Ang Dong, Claudia Gragnoli, Christopher Griffin,, and Rongling Wu, The genomic physics of tumor–microenvironment crosstalk, Physics Reports, 1029(2023), 1-51
Update Time: 2024-09-12 17:18:12