CSDL Home IEEE/ACM Transactions on Computational Biology and Bioinformatics 2006 vol.3 Issue No.02 - April-June
Issue No.02 - April-June (2006 vol.3)
Published by the IEEE Computer Society
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TCBB.2006.25
I am very pleased to welcome two new Associate Editors, Professor Cheng Li of the Harvard School of Public Health and Professor William Stafford Noble of the University of Washington, to the board of the IEEE/ACM Transactions on Computational Biology and Bioinformatics. Professor Li's editorial responsibilities include statistical analysis and design issues in microarrays; Professor Noble's editorial responsibilities include applications of machine learning techniques in molecular biology and genomics. More detailed biographies of Professors Li and Noble appear below and links to their Web pages (as well as the Web pages of other TCBB associate editors) can be found at wwwcsif.cs.ucdavis.edu/~gusfield/urllinks.
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Cheng Li received the PhD degree in 2001 from the University of California, Los Angeles. In 2001, he joined the Dana-Farber Cancer Institute and the Harvard School of Public Health to complete a postdoctoral fellowship and was appointed an assistant professor in 2002. He has played a seminal role in the development of model-based analysis of oligonucleotide microarrays and the software package DNA-Chip Analyzer (dChip).
William Stafford Noble (formerly William Noble Grundy) received the PhD degree in computer science and cognitive science from the University of California San Diego in 1998. After a one-year postdoctoral fellowship with David Haussler at the University of California Santa Cruz, he became an assistant professor in the Department of Computer Science at Columbia University. In 2002, he joined the faculty of the Department of Genome Sciences at the University of Washington. His research group develops and applies statistical and machine learning techniques for modeling and understanding biological processes at the molecular level. Dr. Noble is the recipient of a US National Science Foundation CAREER award and is a Sloan Research Fellow.