Xiaogang Wu received his PhD degree in 2005 on Control Science and Engineering from Huazhong University of Science & Technology (HUST), Wuhan, China. One year after that, he was appointed to associate professor of the Institute for Pattern Recognition and Artificial Intelligence (IPRAI) in HUST. He has over 10 years of research experience in image processing, machine learning, artificial intelligence, pattern recognition, chaotic dynamics and complex systems. His previous research focused on nonlinear dynamical analysis of complex models, especially estimating parameters of chaotic systems by nonlinear time series analysis, symbolic dynamics and chaos synchronization, etc.
Xiaogang Wu is currently a bioinformatics scientist in the Hood Lab at Institute for Systems Biology (ISB). Before he joined ISB, he was a research scientist in the School of Informatics and Computing (SoIC) at Indiana University-Purdue University Indianapolis (IUPUI). He was also affiliated with Indiana Center for Systems Biology and Personalized Medicine (CSBPM, a signature center in Indiana University-Purdue University at Indianapolis). His current research focuses on bioinformatics and systems biology, e.g., applying machine learning, swarm intelligence, and complex network modeling techniques into identifying systems biomarkers for early diagnosis and predicting drug responses based on systems pharmacology. He is also an Associate Editor of Frontiers in Systems Biology since 2009.
Postdoc, Bioinformatics, Indiana University-Purdue University Indianapolis
PhD, Control Science and Engineering, Huazhong University of Science & Technology, Wuhan, China
MS, Pattern Recognition and Artificial Intelligence, Huazhong University of Science & Technology, Wuhan, China
BS, Electronic and Information Engineering, Huazhong University of Science & Technology, Wuhan, China