I am a postdoctoral associate in the GRIFFIN Lab at the University of Colorado Boulder, and currently on the faculty job market. My research examines how optimization and machine learning can improve the operation of electricity networks with high levels of human interaction (or human-in-the-loop).
I received my PhD from the University of Oxford in 2019, where I worked in the Energy & Power Group. My thesis investigating the impact of electric vehicles on power system operation, using a data-driven approach to model realistic driver behavior. Following this I spent a year working at the UK government (BEIS) where I worked on electric vehicle policy and economic modeling of renewables based electricity systems. In 2020 I moved to CU Boulder to become the main developer on the Electric Stampede team in the ARPA-E Grid Optimization (GO) competition.
Constance Crozier 