Special Invited Talk: AI-Empowered and Dynamics-Characterized Life Sciences | Prof. Luonan Chen
Seminar Details
- Speaker: Prof. Luonan Chen (Shanghai Jiao Tong University / Hangzhou Institute for Advanced Study, UCAS)
- Host: Prof. Yanhui Xu (Fudan University)
- Time: April 9th (Thursday) 9:30 AM
- Location: Room 219, R01, No. 88 Zhangjiang Road, Pudong New Area, Shanghai
Abstract
The rapid development of high-throughput omics technologies has provided unprecedented big data support for life science research, such as in complex diseases. Multi-source, multi-dimensional, and multi-scale biomedical data constitute typical multivariate heterogeneous big data, exhibiting significant spatiotemporal dynamic characteristics.
In light of these characteristics, there is an urgent need to develop dynamical theories and AI methodological systems capable of accurately characterizing the spatiotemporal evolution rules of the data. This includes critical points and AI early warning based on dynamical systems, time-series prediction based on low-dimensional characteristics of attractors, causal inference based on embedding theory, and non-linear multi-modal data AI fusion based on deep learning. These new data science theories and AI methods can not only help understand and predict the dynamic behaviors of complex systems, but also provide AI with more physically interpretable modeling paradigms. This forms a mutually promoting research paradigm of AI for Science (AI4Science) and Science for AI (Science4AI).
Related theories and algorithms can be widely applied in key scenarios such as early warning of tumor invasion, metastasis, and recurrence, real-time public health monitoring, sub-health risk assessment, time-series prediction, and the construction of trustworthy AI.
Speaker Biography
Prof. Luonan Chen is a Chair Professor at the School of Mathematical Sciences and the School of Artificial Intelligence, Shanghai Jiao Tong University, and a Chief Professor at the Hangzhou Institute for Advanced Study, UCAS. He serves as the Director of the Network Biology Professional Committee of the Chinese Society for Bioinformatics, the Director of the Molecular Systems Biology Professional Branch of the Chinese Society of Biochemistry and Molecular Biology, the Honorary Chairman of the Computational Systems Biology Branch of the Operations Research Society of China, and the Chair of the Technical Committee on Systems Biology of the IEEE SMC Society.
His research primarily focuses on complex systems science, computational systems biology, nonlinear dynamics, and artificial intelligence. In recent years, as a corresponding or co-corresponding author, he has published over 300 journal papers (including Nature, Cell, Nature Genetics, Nature Computational Science, Nature Ecology & Evolution, Nature Communications, PNAS, NSR, etc.) and five monographs, with an H-index of 92.
Agenda
- PART 01 Academic Presentation
- PART 02 Q&A Session
- PART 03 Coffee Break
- PART 04 Introduction to Sycamore Island and Job Openings
- PART 05 Institute Tour