This research examines whether air pollution affects risk-taking behaviour. Using survey data from 40,000 Indonesians and satellite pollution measurements, it shows that higher pollution levels make people more risk-averse. Because risk preferences influence education, careers, entrepreneurship, and innovation, cleaner air may improve both health outcomes and economic decision-making.

This research develops a physics-based method for measuring lung elasticity from medical imaging to predict which emphysema patients will benefit from lung valve treatment. By creating detailed elasticity maps, the work aims to improve treatment selection, enhance patient outcomes, and provide new quantitative tools for assessing lung health.

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 uses low-cost air quality sensors to monitor pollution exposure in underserved communities in Philadelphia. It reveals unexpected indoor and temporal pollution patterns and highlights disparities in exposure. By involving residents as citizen scientists, the study demonstrates how accessible data can inform policy and improve public health outcomes.

This research examines Rotterdam’s urban tree planting practices and their impact on air quality and drought resilience. Findings show that current reliance on single-species tree lines reduces resilience, while greater species and functional diversity improves pollutant removal and climate adaptability. The study recommends transitioning to mixed-species, biodiversity-focused urban forestry strategies.