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.
In a recent Sci. Adv. paper, Yuan teamed with scientists from UCLA to disentangle the roles of aerosols and GHG in the spring warming asymmetry between Eurasia and N. America.
The award recognizes Drive's talent at "breaking down complex topics to be digestible and for tailoring his tutoring rigor to the level of each individual"
