Shanghai Center for Bioinformation Technology Qinzhou Rd 100, Building 1, 12F Shanghai, 200235, China.
Yi-Xue Li was born in Xinjiang, China. Currently, he is the director in Shanghai Center for Bioinformation TechnologyÃ¯Â¼Åvice director and a full research professor of Key Laboratory of Systems Biology at Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences. Dr. Li received his BSc. and Msc. degrees in theoretical physics from Xinjiang University, China, in 1982 and 1987, respectively, and his Ph.D. degree in theoretical physics from the University of Heidelberg, Germany, in 1996. After Dr. Li got his Ph.D. degree he worked as a bioinformatics research staff in European Molecular Biology Laboratory (EMBL) from 1997-2000, and came back to Shanghai, China in the middle of 2000.
Dr. Li has published more than 100 journal papers published in various international scientific journals, such as Science, Nature Genetics, Nature Biotechnology, PNAS, Bioinformatics, NAR, Plos Computational Biology, Plos One, Molecular Systems Biology, Molecular Cellular Proteomics, Oncogene, BMC Bioinformatics, Genome Biology, etc., and his research results have been cited by more than 1500 researchers worldwide in books, theses, journal and conference papers. He has served as a reviewer/panelist for many national research foundations/agencies such as the Chinese National Science Foundation, the National High-Tech Program(863) and National Key Basic Research Program(973). Dr. Li has served as an editorial board member for 5 scientific journals. He has organized several international conferences and workshops and has also served as a program committee member for several major national and international conferences like GIW, HUPO and National Bioinformatics Conference etc.
Dr.Li's research interests include bioinformatics, systems biology and computational biology. Recently, his research focuses on: biological applications of next generation sequencing technology; comparative genomics and function evolution of biological modules; gene regulatory network; small molecule mediated biological pathways; protein-protein interaction network.