Started as a data scientist and now run the team. Most of the work lives at the edge of clean energy policy and real infrastructure — figuring out where chargers should go, whether programs are actually moving the needle, and making that legible to the people writing the checks. Built geospatial siting tools, carbon accounting models, causal inference studies. The work has touched a dozen states and a lot of federal dollars.
Six years thinking hard about who gets left out of the EV transition and why. The dissertation looked at charging infrastructure, policy, and equity — the gap between clean energy ambition and who it actually reaches.
Built a carbon accounting and climate risk model that ended up being adopted by 20+ municipalities across Tanzania, Uganda, Ethiopia, Indonesia, and Turkey. Watching something you built in a research lab inform real capital investment plans is a strange and good feeling.
Helped stand up the UW Transportation Data Collaborative — a big-data platform bridging Microsoft, Lyft, Uber, Seattle DOT, and Sound Transit. Also helped write policy on autonomous vehicles before anyone really knew what that meant.
Taught infrastructure planning, urban planning methods, and GIS at the master's level. Learned more from students than I expected.