Illicit market intelligence researcher and empirical economist focused on cryptomarket data and darknet intelligence infrastructure. Based in Los Angeles.
My work builds the measurement instruments — multilingual classification pipelines, live collection infrastructure across active darknet markets — and the structural econometric analysis on top of them. Current research centers on the geography of illicit drug trade, bilateral enforcement architecture, and payment rail evolution in post-2022 cryptomarkets.
Working paper: Anti-Gravity Exists: Evidence from Darknet Drug Markets — PPML gravity model on 353,983 listings across 10 cryptomarkets. Standard facilitation variables (contiguity, common language, colonial ties) invert sign. Distance elasticity −1.97. MLAT enforcement coordination test: −2.54***.
Classification pipeline: darknet-drug-classifier — 57 granular drug categories across 5 languages, 98.4% validated on historical archive data, actively extended for live 2026 market coverage.