Caitlin McMahon supports E3’s work in distributed energy resources analysis. She creates, tests, and utilizes python code to process input data and visualize electrification forecast results for the Forecasting Anywhere model. Prior to E3, Ms. McMahon completed research at Stanford while earning a master’s degree in Energy Resources Engineering. Her research focused on enhancing demand response in commercial buildings. She previously interned in the Grid Modernization group at National Grid and in the Electrical Engineering department at the New York Power Authority.
From a young age, Caitlin has been passionate about the reliable and cost-effective transition to a clean energy sector. Caitlin’s interests stem from her undergraduate years at Union College, where she created models to optimize the campus microgrid. Caitlin’s internship experiences also shaped her drive to enable decarbonization of the electricity sector.
Outside of her work and research, Caitlin is interested in hiking, spending time outdoors and with family, and creating recipes.
Education: MS, Energy Resources Engineering, Stanford University; BS, Electrical Engineering, Union College
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