A Spatiotemporal, Quasi-experimental Causal Inference Approach to Characterize the Effects of Global Plastic Waste Export and Burning on Air Quality Using Remotely Sensed Data
My third dissertation paper, tailoring modern statistical methods to a novel environmental case study.
Mar 6, 2025
Applying for the NSF GRFP
For prospective or early-stage PhD students, especially those interested in statistics & public health
Sep 4, 2024
Evaluation of Model-Based PM2.5 Estimates for Exposure Assessment during Wildfire Smoke Episodes in the Western U.S.
Jan 24, 2023
Investigating Use of Low-Cost Sensors to Increase Accuracy and Equity of Real-Time Air Quality Information
My first dissertation paper, harnessing statistical thinking to guide strategies for collecting air quality data to inform the public.
Jan 9, 2023
Upper Division Course Projects at Harvard and CU Boulder
To provide a sense of what I’ve worked on other than my research in the National Studies on Air Pollution & Health Group and Earth Lab, here is a list of my most substantial projects that resulted in course papers but not peer-reviewed publications:
Dec 15, 2022
Science in the News Talk
I leveraged the material from my HPHR blog, as well as new content, to give a public-facing talk on air pollution, global health, data science, and public policy.
Mar 22, 2022
Breathing Data Blog
A blog series on air pollution, health, and data science, emphasizing environmental justice and related public policy.
Sep 30, 2021
Daily PM2.5 concentration estimates by county, ZIP code, and census tract in 11 western states 2008–2018
Apr 19, 2021
Improving accuracy of air pollution exposure measurements: Statistical correction of a municipal low-cost airborne particulate matter sensor network
Jan 1, 2021