Machine Learning Engineer
Austin is the former Co-director of the Stanford Energy Policy Community, where he created a data-driven algorithm to facilitate renewables adoption. He has integrated energy data sets at Google, published analyses on drones’ energy sector impact at Bloomberg NEF, and worked on energy efficiency at Lawrence Berkeley National Laboratory. He holds a B.S. in civil engineering from UCLA and an M.S. in energy resources engineering from Stanford University.