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IBM Journal of Research and Development

Applications of Massively Parallel Systems   Volume 52, Number 1/2, 2008
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Advances in Rosetta protein structure prediction on massively parallel systems - Author Bios

by S. Raman,
B. Qian,
D. Baker,
and R. C. Walker
Biographical sketches of authors

Srivatsan Raman Department of Biochemistry, University of Washington, J Wing Health Sciences Building, Box 357350, Seattle, Washington 98195 (sraman@u.washington.edu). Mr. Raman is a graduate student in Professor David Baker's research group at the University of Washington. His Ph.D. thesis work is in the field of high-resolution protein structure prediction. He uses Blue Gene/L supercomputers at the IBM T. J. Watson Research Center, the San Diego Supercomputer Center, and Argonne National Laboratory for running protein structure prediction calculations.

Bin Qian Department of Biochemistry, University of Washington, J Wing Health Sciences Building, Box 357350, Seattle, Washington 98195 (bqian@u.washington.edu). After receiving his Ph.D. degree in biophysics from the University of Michigan, Dr. Qian became a Postdoctoral Fellow at the University of Washington, working with Professor David Baker, with support from the Leukemia and Lymphoma Society career development fellowship. Dr. Qian's main expertise is protein structure and function prediction.

David Baker University of Washington, J Wing Health Sciences Building, Box 357350, Seattle, Washington 98195 (dabaker@u.washington.edu). Professor Baker is a Principal Investigator for the Howard Hughes Medical Institute. He is the recipient of Young Investigator Awards from the Packard Foundation, the National Science Foundation, and the Beckman Foundation, and he is the recipient of the Irving Sigal Young Investigator Award from the Protein Society and the Overton Award from the International Society of Computational Biology. He is considered one of the leading experts in protein structure prediction and enzyme design, and since 1992, he has published more than 140 papers in internationally renowned peer-reviewed journals, including five in Science and Nature. He is the principal author of the protein structure prediction software Rosetta.

Ross C. Walker San Diego Supercomputer Center, University of California at San Diego, 9500 Gilman Drive #0505, La Jolla, California, 92093-0505 (rcw@sdsc.edu). Dr. Walker received his Ph.D. degree in computational chemistry from Imperial College London and then worked as a National Institutes of Health-funded Postdoctoral Fellow at The Scripps Research Institute (TSRI) in the research group of Professor David Case. While at TSRI, he worked as a principal author of the AMBER molecular dynamics software incorporating a completely new QM/MM molecular dynamics module. In March 2006, he moved to an Assistant Research Professor position at the San Diego Supercomputer Center where he works in the Scientific Computing Applications Group. Through the National Science Foundation-funded Strategic Applications Collaboration program, Dr. Walker specializes in maximizing the potential impact of high-performance computer systems on molecular biology research.


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