BLACKSBURG, Va., Sept. 26, 2011 -- Madhav Marathe, Ph.D., deputy director of VBI’s Network Dynamics and Simulation Science Laboratory (NDSSL) and professor of computer science at Virginia Tech, has been named the first George A. Michael Distinguished Scholar by Lawrence Livermore National Laboratory (LLNL). Professor Marathe is a recognized expert in interaction-based modeling and the simulation of large, complex biological, information, social and technical systems. The award recognizes Marathe for his expertise and contributions to the rapidly evolving field of network science. The scholarship will foster long-term collaboration on a topics of mutual interest that lie at the intersection of network science, high performance scientific computing and inter-dependent socio-technical systems between LLNL and NDSSL.
Dr. Fred Streitz, director of ISCR, in announcing the award said: "The research this scholarship makes possible will advance scientific computing and the science it makes possible as well as help the Lab fulfill its missions for years to come. I can think of no better tribute to the visionary work of George Michael."
As part of the award, Marathe, will be in residence at the Institute for Scientific Computing Research from Fall 2011 through Summer 2012.
The award honors George Michael, a theoretical physicist and computational scientist, who pioneered supercomputing. Read more about it in LLNL’s press release.
About the Virginia Bioinformatics Institute
The Virginia Bioinformatics Institute at Virginia Tech is a premier bioinformatics, computational biology, and systems biology research facility that uses transdisciplinary approaches to science, combining information technology, biology, and medicine. These approaches are used to interpret and apply vast amounts of biological data generated from basic research to some of today’s key challenges in the biomedical, environmental, and agricultural sciences. With more than 240 highly trained multidisciplinary, international personnel, research at the institute involves collaboration in diverse disciplines such as mathematics, computer science, biology, plant pathology, biochemistry, systems biology, statistics, economics, synthetic biology, and medicine. The large amounts of data generated by this approach are analyzed and interpreted to create new knowledge that is disseminated to the world’s scientific, governmental, and wider communities.
September 26, 2011