Quantitative research in economics and finance. Projects span causal inference, urban economics, labor markets, financial risk, and energy policy. Each project page includes methodology, findings, and interactive tools where applicable.
TWFE DiD on 48.5M BIXI trip records estimates two REM openings' effect on bike-share demand. Matched estimates: +10.4% and +2.7%. Nearest-neighbor matching revealed 80% of the naive Deux-Montagnes effect was confounding bias from dissimilar controls.
Hedonic OLS on 8,778 Montreal Airbnb listings shows the naive transit premium reverses sign once centrality enters: rail proximity is a centrality effect in disguise, and conditional on location, rail adjacency carries a slight price discount.
Causal inference pipeline (DoWhy, Pearl's do-calculus) recovers a backdoor-adjusted price elasticity of +0.119 for bitcoin mining energy demand; 106-country monthly panel confirms cross-sectional heterogeneity.
Hedonic wage regression on ~8,000 job postings across the UK, Canada, and Australia estimates wage premia associated with AI-adjacent skills in the post-GPT labor market.
A production-quality risk engine computing Value-at-Risk three ways (historical, parametric, Monte Carlo) with GARCH(1,1) volatility modeling, formal backtests, and an interactive Streamlit dashboard.