Machine Learning

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
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
Optimizing Heat Alert Issuance with Reinforcement Learning
Optimizing Heat Alert Issuance with Reinforcement Learning

My second dissertation paper, developing a framework with which AI can be used to address environmental health problems.

Jan 1, 2025
Upper Division Course Projects at Harvard and CU Boulder
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& Health Group and Earth Lab, here is a list of my most substantial projects that resulted in course papers but not peer-reviewed publications: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
Daily PM2.5 concentration estimates by county, ZIP code, and census tract in 11 western states 2008–2018

Apr 19, 2021