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IBM Journal of Research and Development

Systems Biology   Volume 50, Number 6, 2006
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A spatially detailed myofilament model as a basis for large-scale biological simulations - Author Bios

by J. Hussan,
P. P. de Tombe,
and J. J. Rice
Biographical sketches of authors

Jagir Hussan IBM Research Division, Embassy Golf Links Business Park, Block C, Level 7, Intermediate Ring Road, Bangalore, India 560 071 (jagirhus@in.ibm.com). In 2001, Mr. Hussan received his B.E. degree in computer science and engineering from the Coimbatore Institute of Technology. He joined IBM in 2001 and has been working in the areas of computational biology and deep computing. His research interests focus on the development of computational models and high-performance methods for the analysis of complex biological phenomena, and, in particular, the development of novel techniques that markedly increase the speed and accuracy of computer simulations and the application of such methods to investigate clinically important phenomena.

Pieter P. de Tombe Department of Physiology and Biophysics, University of Illinois, 835 South Wolcott Avenue, Chicago, Illinois 60612 (pdetombe@mac.com). In 1989, Dr. de Tombe received a Ph.D. degree in physiology from the University of Calgary, Alberta, Canada. He subsequently joined the Department of Biomedical Engineering at The Johns Hopkins University with a postdoctoral fellowship. He now holds the position of Full Professor at the University of Illinois in the Department of Medicine, the Department of Bioengineering, and the Department of Physiology and Biophysics. Dr. de Tombe is the director of the Sarcomere Dynamics Laboratory, which investigates the mechanical and energetic properties of healthy and diseased heart muscle.

John Jeremy Rice IBM Research Division, Thomas J. Watson Research Center, P.O. Box 218, Yorktown Heights, New York 10598 (johnrice@us.ibm.com). Dr. Rice is a Research Staff Member at the Center for Computational Biology at the IBM Thomas J. Watson Research Center. He is a member of the Functional Genomics and Systems Biology Group and seeks to merge computational simulation with emerging technologies in genomics and proteomics. He is currently working on methods to infer cellular signaling pathways from high-throughput data. Dr. Rice has published extensively in the field of cardiac physiology simulation, including models of electrophysiology, calcium signaling, and muscle contraction. This work continues from his Ph.D. thesis work at the Department of Biomedical Engineering of The Johns Hopkins University, from which he graduated in 1998. He is currently an adjunct faculty member of the same department and teaches undergraduate and graduate courses in modeling and physiology.


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