Data scientist and developer, San Francisco.
Most of my time goes to Markit, a map-based marketplace that connects people with the farmers, artisans and small businesses near them. It's live on the web and the App Store, with Android in beta, and piloting with vendors in Detroit and San Francisco.
On the side I keep the El Niño Tracker running: a live map of how the 2026–27 El Niño is reaching California's coast, graded against decades of past winters and rebuilt from public NOAA, NASA, USGS and Scripps data as the winter unfolds.
Before Markit I was the sole data scientist at NationBuilder, and before that a data scientist at Ford. I studied economics and environmental studies, then information, at the University of Michigan, and I grew up in Detroit.
I'm starting to write here about the economics and psychology of the AI age, and about life in between.
There's also a second version of this site, R64: the same projects and past, laid out as a low-poly ocean you dive down through. It needs WebGL and a few minutes, and is better on a laptop than a phone.
Launched the El Niño Tracker, a live map of how the 2026–27 El Niño reaches California's coast.
Certified as a Google Cloud Associate Cloud Engineer.
Started building Markit in earnest. It's now live on the web and the App Store, with Android in beta.
Moved to San Francisco.
A live, map-first look at how the 2026–27 El Niño reaches California's coast. It tests one idea, that warm water raises the sea along the coast, through three things that should follow: tide gauges stand higher, beaches narrow, storms hit harder. Every verdict is graded against decades of past winters and linked to its test and sources, and the page rebuilds itself from public NOAA, NASA, USGS and Scripps data as the winter unfolds.
A crowd-sourced, map-based marketplace connecting local farmers, artisans and small businesses directly with the people looking for them: native iPhone and Android apps alongside the web app, a serverless backend, and on-device LLM features for product keywords and price comparisons. The idea struck at Detroit's Eastern Market, selling soup for the Russell Street Deli, where vendors had no way to tell customers where else to find them.
A team of five told the story of reported data breaches three ways, in Tableau, D3.js and Vega-Lite, and pressure-tested each in design labs. The Tableau dashboard told it best, and it's still up.
Master's capstone: an iOS app giving turn-by-turn augmented-reality directions through the University of Michigan's North Quad. Four graduate students, three agile sprints, rotating roles, and a beta shipped to TestFlight.
A web app for organizing and finding potlucks around Ann Arbor, built with two classmates for an experimental social computing course. Hosts post what they'll cook and what they'd like brought; neighbors find a seat at the table.
Notes on the economics and psychology of the AI age, and on life in between. The first one is on its way, and the feed is live for when it lands.
San Francisco.
2021 – 2024Data scientist at NationBuilder, remote. The company's sole data scientist; owned NationBuilder Insights, the customer-facing analytics product.
2019 – 2021Data scientist at Ford, Global Data Insights & Analytics, Dearborn. Used-vehicle valuation models and the pricing pipelines behind the valuations team's daily analytics.
2019Master of Science in Information, University of Michigan School of Information. Graduate student instructor for Introduction to Information Studies.
2012 – 2017Detroit. Among other things, selling soup for the Russell Street Deli at Eastern Market, where the idea for Markit struck.
2012Bachelor of Arts in Economics and Environmental Studies, University of Michigan.
2010A summer touring Detroit's urban farms and gardens.
Growing upDetroit, starting at Henry Ford Hospital.