Connecting atmospheric processes, climate, and health.

My research spans atmospheric chemistry and aerosol physics, climate modeling, machine learning, and environmental health. I study the mechanisms that determine particle populations, the information needed to predict them, and their consequences for clouds and human exposure.

My published work includes estimating cloud-forming particles from available measurements, quantifying ammonia’s role in new particle formation, investigating exposure disparities, and collaborative studies of stratospheric aerosols and health associations. Across these questions, I connect physical models with observations and data-driven inference.

My future program develops two complementary capabilities: efficient aerosol representations that remain reliable as atmospheric conditions change, and high-resolution environmental exposure estimates that carry uncertainty into health research. The research pages distinguish published foundations from proposed next steps.