Projects
A mix of formal research and small experiments—some polished, some still becoming.
Undergraduate thesis · University of Virginia
My economics thesis studied how exposure to automation risk relates to unionization and labor-market institutions. Awarded highest distinction.
Research · Federal Reserve Bank of Chicago
Co-authored market monitoring on transaction costs, liquidity, yield movements, and stress indicators across the municipal bond market.
Policy research · Federal Reserve Bank of Chicago
Co-authored an FOMC briefing on AI capital expenditure and leverage, translating firm-level investment patterns into decision-relevant analysis.
Machine learning research · William & Mary
Used Gaussian Process Regression to approximate complex simulation outputs, quantify uncertainty, and improve runtime by roughly tenfold for research presented to NASA researchers.
Interactive data project · Census BTOS + BLS QCEW
A state-level atlas that places reported business AI adoption beside observed employment and wage change, with public source files, transparent transformations, and explicit limits on causal interpretation.
Interactive literature map · Quarterly research project
A living map of 110 economics papers on artificial intelligence—showing research neighborhoods, citation signals, influential authors and institutions, and open questions for the field.
Interactive data visualization · AEA RCT Registry
A searchable, rotating globe that maps publicly disclosed randomized controlled trials across 155 countries, with filters for status, dates, and research locations.
Vibe-coded · Living project
This site: a hand-shaped, multi-page home for research, writing, teaching, and the links I want to keep close. Built iteratively with AI-assisted development.
Applied Python tool · Berkeley Research Group
Built a Python application that automated a statistical sampling workflow and reduced manual sampling time by about 90 percent.
More small experiments will appear here as they become useful enough to share.