This site documents my research, software contributions, and released binaries.
Explore the sections below for selected work and current projects.
Applications, libraries, systems, and developer tooling.
Statistically rigorous methods in economics and decision science.
Neural search, byte pair encoding, and high-quality data curation.
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, semi-parametric causal inference, and byte pair encoding pipelines for production NLP systems.
I build production-first machine learning systems at scale, including agentic tools and open-source orchestration.
Outside of work, I read, design games, and build definitely-not-production-ready projects.
Selected publications, open-source contributions, and released binaries.