Session Details
[MS16]Complex Biological Dynamics and SOTA Mathematical Methods
Tue. Jul 8, 2025 4:50 PM - 6:30 PM JST
Tue. Jul 8, 2025 7:50 AM - 9:30 AM UTC
Tue. Jul 8, 2025 7:50 AM - 9:30 AM UTC
Room 07
Chair:Luonan Chen(Chinese Academy of Sciences, China), Jifan Shi(Fudan University, China), Peijie Zhou(Peking University, China)
In recent years, the integration of artificial intelligence (AI) and computational methods has revolutionized the field of complex biological systems. Dynamical modeling, especially powered by AI-driven tools, has become essential for deciphering the mechanisms of biological dynamics. Not only the advent of big data and advanced machine learning techniques offers unprecedented opportunities to understand the development of life, but also the novel mathematical models. In this mini-symposium, we will invite leading experts to discuss the state-of-the-art advances in complex dynamics and computational systems biology. We welcome all scholars to explore novel ideas and collaborative opportunities in this rapidly evolving and highly promising area.
[MS16-01]Data Driven Complex Systems Reconstruction
*Huan-Fei Ma1 (1. Soochow University, Suzhou, China (China))
[MS16-02]Reservoir computing-driven causal discovery in complex systems
*Siyang Leng1 (1. Fudan University (China))
[MS16-03]Deciphering tissue structure from single-cell sequencing data by density ratio transfer
*Jifan Shi1 (1. Fudan Univ. (China))
[MS16-04]Deciphering cell state transitions by hierarchical causal decomposition for multi-perturbation predictions
*Chengming Zhang1, Deyu Cai2, Kazuyuki Aihara1, Luonan Chen3 (1. The University of Tokyo (Japan), 2. ShanghaiTech University (China), 3. Chinese Academy of Sciences (China))