Our group works at the intersection of air pollution, exposure science, and environmental justice. We combine atmospheric modeling, spatial analysis, measurement campaigns, and health-impact assessment to understand air-quality problems and evaluate solutions. Core research themes include:
We develop local, national, and global exposure models for PM2.5, NO2, ultrafine particles, black carbon, and other pollutants. Our approaches employ regulatory monitoring, satellite observations, land-use data, machine learning, and mobile measurements. The resulting exposure estimates support epidemiology, policy assessments, and environmental justice analyses.
A major focus is quantifying how pollution levels differ by race-ethnicity and income. We evaluate the drivers of disparities, examine historical causes, and test strategies to reduce inequities.
We developed and use a high-efficiency model (InMAP) for assessing emissions changes, regulatory scenarios, and technology transitions. These tools are used by governments, NGOs, and researchers to evaluate the health and equity implications of energy, transportation, and land-use decisions.
Using fixed-site monitors, low-cost sensor networks, and mobile platforms, we map intra-urban variation in air pollutants at street-level scales. Campaigns span U.S. cities, India, and other regions.
Our work has been supported by NSF, EPA, NIH, HEI, foundations, and international partners. Our findings have been reported in The Economist, New York Times, Washington Post, The Guardian, Fox News, and more. We collaborate with engineers, epidemiologists, atmospheric scientists, economists, lawyers, and community organizations.
