AI strategy, cloud research platforms, and engineering standards for clinical trials — grounded in biostatistics and 15+ years of R.
🧠 Head of Applied Intelligence at the Prostate Cancer Clinical Trials Consortium
🎓 Trained biostatistician and epidemiologist (ScD, Harvard)
📕 Co-author of Causal Inference in R (CRC Press)
| 🚀 Building now | 🧰 Open source highlights |
|---|---|
| ducklake-r — DuckLake’s versioned, audit-trailed data lakehouse for tidyverse workflows | ggconsort — CONSORT diagrams in ggplot2 |
| dplyneage — interactive column-level lineage diagrams for dplyr and dbplyr pipelines | ggswimlane — clinical trial swimlane plots in ggplot2 |
| LLM-assisted workflows that hold up in regulated clinical trial environments: privacy-preserving agentic coding and CDISC (SDTM/ADaM) automation | r-code-review-checklist — a code review checklist template, built for R teams |