Luonan Chen is a Professor of Biological Sciences at Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, China.
| Luonan Chen received a BS degree in Electrical Engineering, from Huazhong University of Science and Technology, China, and the M.E. and Ph.D. degrees in electrical engineering, from Tohoku University, Japan, in 1988 and 1991, respectively. From 1997, he was an associate professor of the Osaka Sangyo University, Osaka, Japan, and then a full Professor. Since 2010, he has been a professor and executive director at Key Laboratory of Systems Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences. He was elected as the founding president of the Computational Systems Biology Society of OR China, and Chair of Technical Committee of Systems Biology at the IEEE SMC Society. His research areas include nonlinear dynamics, causality inference, machine learning, and systems biology, in particular, dynamics-based data analysis. In recent years, he published over 350 journal papers and two monographs in the area of network and systems biology. |
Considerable evidence suggests that during the progression of complex diseases, the deteriorations are not necessarily smooth but are abrupt, and may cause a critical transition from one state to another at a tipping point. Here, we develop a model-free method to detect early-warning signals of such critical transitions (un-occurred diseases), even with only a small number of samples.
Luonan Chen is a Professor of Biological Sciences at Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, China.