Projects

Projects spanning statistical modeling, machine learning, and software development.

Campaign Allocation
Where should a party committee spend its money across House races? A calibrated forecast of every race, an explicit assumption about what party money does, and a test of DCCC's real spending against the best use of the same budget.
October 2026 · Forecasting · Constrained Optimization · Game Theory · Campaign Finance
Kalshi Weather Derivatives
A quantitative trading system for Kalshi's daily high-temperature markets: probabilistic forecasts, a market-facing scoring benchmark, and serverless execution live with real capital across 7 U.S. metros.
February 2026 · Machine Learning · Probabilistic Forecasting · Quantitative Trading · AWS
Axiom Catalog
An AI document intelligence platform for political campaign materials, using Claude, hybrid semantic search, and automated Dropbox ingestion to make 9,800+ past pieces searchable in plain language.
July 2025 · AI · Full-Stack · Semantic Search · PostgreSQL