I’m not a professional software engineer, but writing code has become an inseparable part of my research life. Most of my work is done in Python, with occasional use of MATLAB, R, or SQL, each chosen for what it does best.
I actually enjoy debugging. Finding and fixing a hidden bug feels like solving a small mystery. I also like the quieter, slower satisfaction of sorting and organizing large datasets. It feels nice to turn messy files into tidy spreadsheets or database tables. It’s a bit like “collecting them all”, except the collectibles are variables and observations.
You can find some of my scripts and research utilities in:
My GitHub repository: analysis and visualization tools, updated more frequently.
My Open Science Framework (OSF) repository: additional project-specific scripts and shared materials.
Since joining the Medical Evidence Project at the Center for Scientific Integrity as a data analyst, my once-fallow GitHub now sees near-daily updates. Many of these scripts handle large-scale data parsing, statistical summaries, and visualization for meta-analysis workflows. Some scripts aren’t public for a variety of reasons, but interested friends are always welcome to reach out.
I try to upload complete sets of code, but occasionally a stray spreadsheet or helper file slips through the cracks. If something doesn’t run right away, feel free to reach out. I’ll be glad to share the missing pieces.
