Jason G. Su

Dr. Jason G. Su is a Researcher in Environmental Health Sciences with expertise in geospatial analysis of air pollution and its health impacts. His work leverages multi-petabyte satellite imagery and Google Earth Engine to create high-resolution pollution surfaces, focusing on vulnerable communities. He has pioneered land use regression models for spatiotemporal pollution analysis and investigates links between environmental exposures (e.g., PM2.5) and respiratory outcomes using machine learning.

Education: Holds dual PhDs in Remote Sensing of Environment and Geographic Information Sciences, alongside MS and BS degrees in Geography. His research is funded by the CDC, Robert Wood Johnson Foundation, and Propeller Health. Notable contributions include quantifying economic benefits of pollution reductions ($350M annually from 12% PM2.5 reduction) and mapping wildfire-related air pollution impacts. His work bridges environmental science, public health, and policy, emphasizing equity through high-resolution exposure mapping.

Key achievements include developing 30+ year air pollution models for California, identifying asthma inhaler usage patterns linked to pollution fluctuations, and advancing digital health sensor applications for real-time symptom tracking. Ongoing projects explore multi-generational pollution effects on neurodevelopment and climate change adaptation strategies for public health resilience.