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Associate Editor Appreciation and Welcome

Dan Gusfield

Pages: pp. 2

About the Authors

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Vineet Bafna received the PhD degree in computer science from Pennsylvania State University in 1994 and was a postdoctoral researcher at its Center for Discrete Mathematics and Theoretical Computer Science for two years. He has been on the University of California San Diego (UCSD) faculty since 2003, after seven years in the biosciences industry. From 1996-1999, he was a senior investigator at SmithKline Beecham, conducting research on DNA signaling, target discovery, and EST assembly. From 1999 to 2002, he worked at Celera Genomics, ultimately as director of informatics re-search, at a time when Celera was decoding the human genome. Dr. Bafna arrived at UCSD after spending a year at the Venter Institute. He is an expert on many areas of bioinformatics. His current focus is on computational problems arising in the study of genome rearrangements, tandem mass spectrometry, populations genetics, noncoding genes, and evolution. He has served on the program committees of ISMB, RECOMB, and has published more than 50 articles in major journals and conference proceedings.
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Jagath C. Rajapakse is an associate professor in the School of Computer Engineering and the deputy director of the BioInformatics Research Centre at the Nanyang Technological University (NTU), Singapore. He is also a visiting professor at the Biological Engineering Division, Massachusetts Institute of Technology. Before joining NTU, he was a visiting fellow at the National Institute of Mental Health (Bethesda, Maryland) and a visiting scientist at the Max-Planck-Institute of Cognitive and Brain Sciences (Leipzig, Germany). The focus of Dr. Rajapakse's research is the neural correlates and molecular basis of human brain function, using imaging and bioinformatics approaches, leading to new drugs and behavioral and stem cell therapies for brain disease. He has authored more than 200 research publications in refereed journals, books, and conference proceedings in the fields of brain imaging, computational biology, and machine learning.
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