Chengpeng Bi

Chengpeng Bi received the MEng degree in computer science and the PhD degree in biology/entomology (major) and operations research (minor) from the Pennsylvania State University, University Park, in 2000 and 2002. He is the director of the Bioinformatics and Intelligent Computing Laboratory, Division of Clinical Pharmacology, Children's Mercy Hospitals and Clinics and an assistant professor of medicine and adjunct professor of computing and engineering at the University of Missouri, Kansas City. He started his bioinformatics career as a postdoctoral fellow at the University of California Davis Genome Center from June 2002 to August 2003. He is interested in using statistical modeling, machine learning, and computational intelligence methods to design novel algorithms and develop software packages for solving challenging problems in bioinformatics and computational genomics. He has published more than 20 peer-reviewed papers, in particular, on biological pattern recognition, de novo motif discovery algorithms for biomolecular (e.g., DNA and protein) sequence analysis, and statistical mechanical modeling on DNA structural transition or DNA melting. The paper on an evolution-inspired structured sequence pattern discovery algorithm was nominated for the Best Paper Award by the ACM GECCO 2006 Committee. His most recent paper describing a genetic-based EM motif discovery algorithm received the Best Overall Paper Achievement awarded by the 2007 IEEE Computational Intelligence on Bioinformatics and Computational Biology (CIBCB) Committee. He is a member of the IEEE and the IEEE Computer Society.