Myst AI is a startup that uses machine learning to help energy companies better predict the future, increase renewable energy adoption, and reduce carbon emissions. We are building a platform that helps analysts create more accurate, reliable, and scalable forecasts. One of the last advantages that dirty energy has over distributed clean energy is that dirty energy is more predictable; we aim to close that gap.

Conducted on-site energy audits for low-income multi-family apartments. Designed energy efficiency strategies, sized PV systems, and assisted with the development of a microgrid design tool.

I helped develop a computational model for predicting primary productivity of paleoenvironments based on soil carbonate samples. I also co-led a 3-week long introductory geology and environmental science course for undergraduates in the Teton/Yellowstone region