I study how policy shapes the economy — and build interactive tools to make those ideas legible to everyone.
I'm an economist with a distinction-level MSc from the London School of Economics and a mathematics background from the University of Central Florida. My research focuses on housing policy, labor markets, and the macroeconomic effects of regulation — using causal inference methods like difference-in-differences and event study designs across large panel datasets.
Alongside academic work, I build data visualizations and interactive tools to explore political and economic questions — from gerrymandering simulations covering all 50 US states to games that test intuitions about decision-making. I've also worked in fixed income and investment banking at Seaport Global Holdings, applying quantitative research to emerging market debt and the US cannabis sector.
Tracking the global surge in AI-related degrees — from under 0.5% in 2018 to nearly 3% by 2025 — and how job markets are absorbing those graduates.
Visualizations from my LSE dissertation: mapping moratorium timing and unemployment across 2,965 US counties during COVID-19, built in R and Stata.
An interactive game covering all 50 US states. Draw congressional districts on real precinct-level maps and see how your choices shift the partisan outcome.
Interactive experiments testing loss aversion, anchoring, and more — then compare your choices to the broader population in real time.
Relocation rates among job switchers in the US have fallen dramatically — nearly 20% below the 2016 baseline. Prevailing literature tends to interpret declining mobility as a sign of economic stagnation, but the cause of this recent drop remains an open question. I am currently investigating whether this trend reflects structural shifts in remote work, housing market lock-in, or changing worker preferences.
Using a staggered difference-in-differences design across 2,965 US counties, I exploit the quasi-random expiry of COVID-era eviction moratoria to estimate labor market effects. Moratorium end is associated with a ~0.8–1% fall in the unemployment rate, driven by unemployed renters returning to work rather than labor force exit. Results are robust to imputation estimators and synthetic DiD.
Using macroeconomic data from 1952 to 2019, we examine long-term growth in Colombia and China through the lens of the Solow and Romer models. I created a visualizer in Python that shows trends over time, which is used throughout the paper.