David Williams
Systems Programmer Analyst at RTI International
Raleigh, North Carolina, United States
Summary
👤
Senior🎓
Top SchoolDavid Williams is a Systems Programmer Analyst with 12 years of experience applying chemical engineering rigor to build robust scientific software and data pipelines. Based in Raleigh, he supports bioinformatics and environmental health projects at RTI International, leading backend development and cloud resource management for initiatives like the PhenX Toolkit and ROBOKOP. His work bridges computational modeling and data engineering—ranging from PBPK and CFD simulations during EPA and academic research to Fortran contributions that improved the EPA’s widely used CMAQ air quality model. Known for clear documentation and reproducible pipelines, he helps teams turn complex environmental and biological data into actionable results. Colleagues rely on him for quantitative problem-solving, careful model validation, and pragmatic improvements to legacy scientific code.
12 years of coding experience
2 years of employment as a software developer
Master’s Degree, Chemical and Biological Engineering, Master’s Degree, Chemical and Biological Engineering at Iowa State UniversityBachelor’s Degree, Chemical and Biomolecular Engineering, Bachelor’s Degree, Chemical and Biomolecular Engineering at North Carolina State University
German, English
Github Skills (5)
fortran10
atmospheric-modelling10
scientific-computing10
cmac10
data-analysis9
Programming languages (1)
Github contributions (5)
USEPA/CMAQ
Sep 2013 - Sep 2022
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
Back-end DeveloperContributions:212 commits, 7 PRs, 3 comments in 9 years 1 month
Contributions summary:David contributed to the U.S. EPA's Community Multiscale Air Quality Model (CMAQ) by modifying the code in various Fortran files. They implemented updates to land use data, improved rainfall calculations, and corrected file extensions. They also addressed specific issues related to the two-way model implementation, demonstrating a focus on improving the model's functionality and accuracy, especially in handling time-dependent input.
atmosphereepamodeling-toolbase-codeclimate-science
dwongepa/WRF
Mar 2021 - Mar 2025
The official repository for the Weather Research and Forecasting (WRF) model
Contributions:3 pushes, 1 branch in 4 years
forecastingmeteorologyatmospheric-modellinggribwrf
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