Climate Vulnerability Analysis
Connecting climate and socioeconomic data to identify the communities most at risk.
A selection of the problems I’ve worked on.
Connecting climate and socioeconomic data to identify the communities most at risk.
Using traffic patterns to forecast charging demand when station-level data is scarce.
Exploring synthetic time-series data for EV demand forecasting and optimization.
A student-centered app bringing schedules, community, and campus essentials together.
An infrared and machine-learning system concept to support safer emergency response.