Partnering with Stanford Legal Design Lab students on tools to help tenants facing eviction

Automated ACS-HUD data linking for housing analysis: eligibility and protected-class flags, and analysis-ready county summaries.

AI-powered Q&A system for U.S. affordable housing policy using RAG over 2,500+ HUD documents and 24 CFR

Empirical evaluation of statewide rent-cap policies in Oregon and California, with building-level extensions across twelve U.S. cities

U.S. Housing Pressure Atlas — screening where weak supply collides with rent pressure

Community-drafted model-law to tie housing, land, vehicle & insurance pricing to wages and real conditions. Anti-gouging by design. Contributions welcome.

A tool to calculate if a rent increase is in compliance with California rent control laws.

Fuzzy matching pipeline linking 660K Virginia eviction filings to 1.3M LLC registrations

Comprehensive machine learning analysis of housing energy inefficiency in France using synthetic data. Implements end-to-end ML pipeline for predicting "passoires thermiques" (energy-inefficient properties) with SHAP interpretability analysis and policy recommendations.

End-to-end data engineering pipeline ingesting U.S. public data (BLS QCEW + Census permits), normalizing raw files, building analytical views, and producing reproducible metrics and visualizations. Tech: Python, SQL, DuckDB, Parquet, REST APIs, CLI tooling Focus: ingestion, caching, data modeling, reproducibility, analytics readiness