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Richard Barnes develops and applies high-performance computational and mathematical techniques to better understand the complex interface of society and the environment. His major areas of research include parallel graph algorithms (with applications in ecohydrology and geomorphology), discrete event simulation (with applications to climate-speciation coupling, and to the evolution of perennial grains), and fast vector GIS algorithms (with applications to electoral gerrymandering).

Richard is a DoE Computational Science Graduate Fellow; a PhD student with UC Berkeley's Energy & Resources Group and MIT's Computer Science and Artificial Intelligence Lab; and is Associate Editor of the journal Computers & Geosciences.
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