Jeff is a senior associate in RMI’s Carbon-Free Electricity Program. He develops open-source models that assess the risks associated with decarbonization pathways to ensure a fair allocation of costs and benefits. He also works toward assessing climate-related financial risks. He is interested in probabilistic forecasting, grid modeling, and spatial allocation issues.
Background
Prior to joining RMI, Jeff completed his PhD from Cornell University, where he built modeling tools to aid wind and solar integration. In terms of spatial modeling, he conducted several studies on siting utility-scale solar energy, including a review of the social aspects of solar development. The bulk of his later work focused on using statistical data-driven methods to assess and enhance ensemble forecasts of solar and wind resources.
Before graduate school, he briefly worked as a mechanical engineer performing building energy modeling to support LEED certification.
Education
BS, Mechanical Engineering, University of New Mexico
PhD, Mechanical Engineering, Cornell University
