This research investigates the formation and chemical composition of atmospheric aerosol particles, particularly secondary organic aerosols formed through oxidation of organic gases. Using a large controlled atmospheric chamber, the work studies how environmental conditions influence aerosol chemistry, improving understanding of air pollution, climate impacts, cloud formation, and human health effects.

This research improves climate prediction models by developing advanced computational methods for simulating cloud microphysics. By tracking more detailed information about cloud droplets and aerosol interactions, the work enhances understanding of how clouds influence Earth’s energy balance, rainfall, and climate change, helping reduce uncertainty in long-term global climate projections.

This research compares Earth’s energy balance to a personal budget and examines how aerosols—especially black carbon—disturb that balance. By simulating how black carbon interacts with cloud droplets and light, the study helps improve understanding of climate impacts. The goal is better climate modeling and reducing harmful atmospheric pollution.

This research uses computer simulations to predict how Greenland’s ice mélange—the icy “cork” stabilizing glaciers—will melt under climate warming. Results show ocean temperatures drive melting twice as strongly as air temperatures. A new equation from this work helps improve climate models and reduce uncertainty in future sea-level rise.

The researcher studies how clouds on distant exoplanets affect their climates and potential for life. Working with NASA, they model how exotic materials—like iron or sapphire clouds—absorb and reflect light. They found particle shape greatly influences temperature and habitability, helping determine whether alien worlds could support liquid water and life.