As a Director in the Energy Analytics group, Scott 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 mobility and energy industries. He holds two masters degrees from the University of Texas at Austin and has has authored journal articles on leveraging high-performance computing environments to conduct technology diffusion modeling down to the individual customer level.