This site documents my research, software contributions, and released binaries.
Explore the sections below for selected work and current projects.
Web Apps, platforms, libraries, and developer tooling.
Statistically rigorous methods in computing, economics, and decision science.
Reliable datasets and reproducible pipelines for research.
I am a computer scientist and mathematician working in statistical learning, causality, microservices, and scientific computing.
My work supports both research teams and independent developers by making advanced methods practical in real systems. A sample of representative methods includes neural search, named-entity resolution, record linkage, anomaly detection, and semi-parametric causal inference.
Outside of work, I read, write, and design games.
Selected publications, open-source contributions, and released binaries.