AI Safety · Fintech · Applied Econometrics
I’m an empirical researcher trained in econometrics, now working on how AI systems are measured. My PhD built the FinTech Infrastructure Score, a composite measure of national fintech infrastructure, and traced its effects on SME performance across OECD economies. The fuller story — Cambridge, McKinsey, a WEF report on AI in finance — is on the About page.
On the methodological side, my interests include identification, composite measurement, and uncertainty quantification in small samples. On the applied side, I’m starting with the Anthropic Economic Index and what its data can and can’t support.
This site is where I do that work in the open: analyses with the code attached, run live at every build, so the results can’t drift from the methods. Substantive pieces cross-post to LessWrong. If you’re working on the same questions, write to me.
Selected work
Report The Future of Global Fintech (2nd Edition)
CCAF / World Economic Forum. Named author; survey design, executive interviews, analysis, and several chapters. Presented at Davos 2025.
Working paper — under review Unpacking Fintech’s Influence on UK SMEs
With Salem, Petrescu & Whyman. Two-step GMM analysis of 1,797 firm-year observations, 2013–2022.
PhD thesis The Impact of FinTech Firms on SME Performance in High-Income OECD Countries
University of Central Lancashire, 2026. Introduces the FinTech Infrastructure Score; viva passed April 2026.
Pipeline Four papers in preparation
Thesis-derived papers on fintech lending density, enabling environments, adoption pathways, and COVID-19 resilience.