Data Mining in Bioinformatics: Selected Papers from BIOKDD
Stefano Lonardi Jake Chen
Pages: pp. 195-196
1. J. Chen, and S. Lonardi, Biological Data Mining. Chapman & Hall/CRC, 2010.
About the Authors
Stefano Lonardi is an associate professor of computer science and engineering at the University of California, Riverside. He received his "Laurea cum laude" from the University of Pisa in 1994 and the PhD degree in 2001 from the Department of Computer Sciences, Purdue University, West Lafayette, IN. He also holds a doctorate degree in electrical and information engineering from the University of Padua (1999). During the summer of 1999, he was an intern at Celera Genomics, Department of Informatics Research, Rockville, MD. His recent research interest includes computational molecular biology, data compression, and data mining. He has published more than 35 papers in major theoretical computer science and computational biology journals and has about 45 publications in referred international conferences. In the year 2005, he received the CAREER award from the US National Science Foundation.
Jake Chen is the founding director of the Indiana Center for Systems Biology and Personalized Medicine since 2007, a faculty member of Purdue University School of Science, Indiana University School of Informatics, and a member of the Indiana University Cancer Center, Center for Computational Biology and Bioinformatics, and Center for Biocomputing since 2004. He is the central Indiana chapter chair of the IEEE Engineering in Biology and Medicine Society, a senior member of both the IEEE and the ACM, and an associate editor of BMC Systems Biology. Prior to joining Academia, he spent six years in the biopharmaceutical industry in the Silicon Valley and Utah doing research in bioinformatics, functional genomics, and proteomics. His research interests spans over biological knowledge discovery, biological information visualization, and translational bioinformatics. He has published more than 70 peer-reviewed publications, including two recent edited books, Biological Database Modeling and Biological Data Mining.