The work that best demonstrates the crossover between genomics research and software engineering.
An R package for Epigenome-Wide Association Studies (EWAS) based on stochastic epimutation. It underpins the SEM methodology used in the first-author papers and is the strongest demonstration of research and code delivered in the same commit.
Enrichment analysis (ORA and GSEA) of chemical-gene interactions from the Comparative Toxicogenomics Database. A toxicogenomics enrichment tool that pairs directly with the Agent Orange and environmental-exposure research.
A personal-finance ledger that aggregates bank statements (CSV and XLSX) into a single ledger with hybrid deterministic and LLM categorization. A demonstration of privacy-first data products, currently launching on Product Hunt.
Home Assistant integrations and tooling: engineering built on an underlying scientific model.
Smart irrigation for Home Assistant, driven by a scientific water-balance model with per-zone crop coefficients.
A browser-based irrigation-line planner that computes the optimal emitter mix.
A Home Assistant integration that runs your own anemometer data through a wind-turbine model and tells you what it would really produce at your site, before you buy it. On a real rooftop, a kit sold as "6000 W" turned out to be worth about 4 kWh a year; field reports from other sites are collected openly.
The full list of public repositories is on github.com/drake69.