I am an undergraduate student at Yale University studying Economics, Mathematics, & Data Science.

My research involves using macroeconomic modeling techniques to evaluate the impact of government investment, natural hazards, and power outages. I introduced new data science and linear algebra techniques to parametrize shocks and develop novel approaches by integrating behavioral and substitution effects.  I am working to promote and inform policy to benefit rural, economically marginalized, and disenfranchised communities by developing modeling methodologies for natural disaster-induced power outages.

I have also contributed to projects studying the impact of sensationalized media on inflation expectations and growth; political idea blocking and polarization; and creating quantum learning agents for simple markets.

My research interests include developing mathematical, statistical, and data science techniques to study the impact of nascent technologies such as generative AI, short-form content algorithms, instant information, and decentralized ledger technologies on labor markets, market stability, and social satisfaction. I hope to build a deep understanding of microeconomic incentives through a mathematical framework of constraint optimization problems. I plan to focus my Ph.D. studies on using mathematics to build up and study macroeconomic implications on economic stability, education, and optimal outcomes for developing or marginalized communities.

"As an Economist, quite frankly, it is a very impressive paper by a High School Senior, I would love to have them as my student." - Dr. Paul Winfree, President and CEO, Economic Policy Innovation Center

The research paper was introduced in testimony by Dr. Kathryn de Wit of the Pew Research Center and discussed by Senator John Thune (R-SD).