About

I am a Ph.D. candidate in Economics at the University of California, Davis, working on macroeconomics, labor markets, and climate change. My research combines structural modeling, time-series forecasting, and policy analysis to study transition dynamics in the economy.

My experiences span across academia, public policy, and technology. At the International Monetary Fund, I collaborated with economists and climate scientists to quantify the economic impacts of climate change using high-resolution spatio-temporal data, informing climate policy discussions. At Posit (formerly RStudio), first as a Software Development Intern, I developed the shinymodels R package for interactive model exploration. Later, I worked as a data science educator creating over ten end-to-end data science projects to train clients in the tidyverse framework. My Ph.D. research focuses on quantifying labor market frictions, developing predictive models of emissions, and evaluating the design of cost-effective policies for the economic transition.

Completing my Ph.D. in 2026, I’m eager to apply my experiencies in modeling, forecasting, and data science to solve high-impact, data-rich problems.