As an Associate Director, Scott Robinson provides modeling expertise and applies a range of cutting-edge techniques—including linear and non-linear optimization, geographic information systems (GIS), agent-based modeling, system dynamics, machine learning, Bayesian modeling, and econometrics—to challenges in the energy industry.
Scott has deep experience in complex simulations with multiple dimensions and uncertain parameters. He has worked with large electric utilities, energy companies, and government clients to address issues such as penetration of electric vehicles and distributed energy resources (DER), emissions reductions and lifecycle impact assessment, competitive market analysis, and technology diffusion. In addition, he has authored journal articles on leveraging high-performance computing environments to conduct adoption modeling down to the individual customer level.
M.S. Energy and Earth Resources, University of Texas at Austin M.A. Public Affairs, University of Texas at Austin B.A. Political Science, Middlebury College