Hi, I'm Nate.
I'm a biostatistician and data systems engineer.
I like difficult questions and data that refuses to be wrangled. I started in infectious diseases, but my work has taken me through pharmaceutical manufacturing, clinical research, Medicaid quality measurement, public-health surveillance, and the systems that connect them.
I like working where stats, programming, and public health overlap, especially when the problem doesn't fit neatly into just one of those boxes. There's something very satisfying about taking a messy question, figuring out what the data can really tell us, and building the machinery that makes that answer hold up.
Training, and what I work in.
- Regulated health data
- Over a decade building and reviewing health data systems where the numbers get audited: pharmaceutical manufacturing, Phase II and III clinical research and the submissions for drug approval that follow it, Medicaid quality measurement, and public-health surveillance, across clinical, administrative and population-health data.
- Statistics
- Estimates that carry their uncertainty, especially when the numbers are small: rates made comparable across populations of different ages, small-area estimates, early warning when counts rise out of the ordinary, and correction for data that arrives late. Where an old and a new version of a method run side by side, I check one against the other.
- Data systems
- Data that arrives on a schedule, is checked before anything uses it, and leaves an audit trail on every load, feeding the dashboards and reports your program relies on. Backups get restored on a schedule, so we both know they work.
- Maps and small areas
- Maps and small-area methods when geography is part of the question, not just the backdrop, with suppression handled where the number is produced.
- Training
- MS, Pharmaceutical Outcomes and Policy. MPH candidate, Johns Hopkins Bloomberg School of Public Health, expected very soon.
Tell me what you're up against.
A short description of your data and your goal is enough to start. I'll let you know if it's work I can do.
Email me hello@vectoranalytics.org