Richard Barnes is a graduate student in Electrical Engineering and Computer Sciences (EECS), as well as the Energy & Resources Group. He applies high-performance computational and mathematical techniques to better understand the complex interface of society and the environment.
Richard's most recent research has focused on the development of efficient algorithms and implementations for analyzing graphs and networks, especially in the context of large geospatial problems. Through collaborations at UC Berkeley, Lawrence Berkeley National Lab, and MIT's Computer Science and Artificial Intelligence Laboratory, this work is having impacts on inverse problem solving in geomorphology, electoral gerrymandering, and genome sequencing.
Richard holds an MS in Ecology, BS in Physics, and a BA in Philosophy from the University of Minnesota. His work has been funded by the Department of Energy's Computational Science Graduate Fellowsihp and the NSF's Graduate Research Fellowship.