Overview
I study how cities are warming in a changing climate, and how we can design better tools to keep them livable. My research develops new statistical and machine learning methods to turn messy environmental data—such as satellite imagery, crowdsourced weather stations, and sensor networks—into reliable, neighborhood-level maps of heat exposure. By rigorously accounting for uncertainty and bias, I uncover patterns of vulnerability that would otherwise remain hidden. This work not only advances methods for analyzing complex environmental data, but also provides actionable insights for climate adaptation, from evaluating reflective surfaces and shading structures to guiding investments in urban greenery and cooling infrastructure. Ultimately, I aim to build the data-driven foundation for resilient, equitable, and climate-adaptive cities.
