Kristen Foley is a research statistician at the U.S. EPA with nearly two decades of expertise applying advanced statistical methods to emissions, meteorology, and air quality research. With a Ph.D. in Statistics from NC State and a decade-plus of hands-on federal experience, she combines deep domain knowledge with practical software contributions to scientific modeling. Her open-source work on the EPA’s CMAQ model—fixing index overflow bugs and implementing spec-driven options—shows she bridges statistical research and production-grade back-end code. Based in Apex, NC, Kristen is adept at turning complex environmental data into robust, auditable solutions that directly support regulatory science and decision-making.
10 years of coding experience
1 year of employment as a software developer
Ph.D., Statistics, Ph.D., Statistics at North Carolina State University
Code for U.S. EPA’s Community Multiscale Air Quality Model (CMAQ) which helps in conducting air quality model simulations
Role in this project:
Back-end Developer
Contributions:10 releases, 12 reviews, 1590 commits in 6 years 9 months
Contributions summary:Kristen primarily focused on bug fixes and enhancements within the CMAQ (Community Multiscale Air Quality) model, particularly concerning utilities like `hr2day` and `combine`. Their contributions involved implementing optional settings from the spec_def file and correcting index overflow errors, indicating a deep understanding of the model's inner workings and data processing. The user also made code modifications to the AERO_DATA.F file and worked on integrating updates from other branches, suggesting a role in maintaining and integrating code within the larger CMAQ codebase.
Contributions:1 commit, 10 PRs, 257 pushes in 1 day
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