New Paper: Machine learning, traffic pollution, and environ. justice
We introduce a machine-learning approach that leverages dynamic traffic data to predict community-level air pollutant for environmental justice assessments.
Yuan co-led a new paper on Nat. Comm. that investigates global climate impacts of regional clean-air strategies over a realistic and policy-relevant timescale
Yuan and Yuhan will be supported by the Stanford Human and Planetary Health Program to assessing the health impacts of urban biogenic emissions under global warming
