Dr. Li Liao is currently working as an associate professor of computer and information sciences at the University of Delaware and has worked in the field of bioinformatics since 1997, with broad expertise in developing computational methods such as hidden Markov models and support vector machines to solve a wide variety of biological problems, from the central tasks like detecting remote protein homology to the frontiers in systems biology such as reverse engineering the biological networks by predicting protein-protein interaction. An author or co-author of 60 peer-reviewed publications, he is active in research and serving the bioinformatics community - he has served as a panelist for National Science Foundation, program committee member and/or organizer for over 20 conferences and workshops in bioinformatics for the past 5 years, and is currently on the editorial board of four scientific journals. He received his PhD degree in Theoretical Physics from Peking University in 1992 and is a senior member of the ACM.
Dr. Li Liao research is mainly focused on Bioinformatics, genome sequencing assembly, gene and protein functional annotation and prediction, protein structure and interaction, gene regulatory and biological network analysis, machine learning.
