Our paper on weather and community-level characteristics that modify the association between long-term PM2.5 exposure and mortality, using data from more than 35 million Medicare enrollees across the US, has just been published ahead of print at Epidemiology! Check it out here. Our findings suggest that living in cities with high temperatures (very timely finding!) and low SES is associated with higher PM2.5 effect estimates.
As a doctoral student I focused on statistical issues related to air pollution epidemiology, such as measurement error induced by use of surrogate instead of true exposures to fine particles, methods to deal with multi-pollutant exposures, such as hierarchical models, source apportionment and clustering, and the impact of failure to account for the uncertainty in source contribution estimation on the estimated health effects.
As a post-doc, I am very excited to work with Dr. Marc Weisskopf, studying the effects of air pollution on psychiatric symptoms, neurodegenerative and neurodevelopmental disorders!