About Me
I am a climate and environmental scientist with foundational training in atmospheric science, meteorology, and geospatial analysis. My doctoral research at Yale University investigates intra-city variations of human heat stress using mobile measurements, satellite and drone remote sensing, GIS, and machine learning.
Beyond my dissertation, I develop geospatial solutions for applied downstream domains, including satellite-driven agricultural crop monitoring and yield forecasting, and urban heat risk mapping using geospatial foundation models.
I am obsessed with satellite data.
Research Impact
My work generated the world's largest mobile measurement dataset for humid heat, the compound thermal effect of temperature and humidity. I deployed vehicle-mounted sensors across 15 cities spanning Mediterranean to humid subtropical climates. In one city, I maintained intensive sampling for 5+ years, capturing day and night across seasons. This characterized street-level thermal comfort at unprecedented spatiotemporal resolution. Statistical analyses demonstrate how weather scenarios regulate thermal comfort, while WRF numerical modeling reveals the underlying physical mechanism of atmospheric thermodynamic processes being modulated by urban form. This work provides one of the first systematic investigations of these relationships.
Teaching
Teaching Fellow
Satellite Remote Sensing & Drone Remote Sensing courses, Yale School of the Environment
GIS Consultant
Yale Libraries, providing workshops and individual consultations on geospatial analysis