Former BIDS Data Science Fellow Richard Barnes is a graduate of UC Berkeley's Energy & Resources Group and Department of Electrical Engineering and Computer Sciences (EECS). He applies high-performance computational and mathematical techniques to better understand the complex interface of society and the environment. Richard's recent research has focused on the development of efficient algorithms and implementations for analyzing and learning from graphs and networks. Through collaborations at UC Berkeley, Lawrence Berkeley National Lab, Apple, Google, and MIT's Computer Science and Artificial Intelligence Laboratory, this work is having impacts on inverse problem solving in public transit prediction, 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.
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