About me
I am an M.A. candidate in Economics at New York University. My research is in labor economics and applied microeconometrics, with a focus on causal inference and panel data methods.
My current work asks whether exposure to artificial intelligence raises labor productivity across U.S. industries. I am also co-authoring a paper on housing code enforcement and economic outcomes in New York City, built on millions of municipal enforcement records.
Before NYU, I earned a B.A. in Economics with a minor in Translation Studies from the University of California, Santa Barbara. I am preparing to apply to doctoral programs, where I hope to work at the intersection of labor markets, personnel economics, and applied microeconomic theory.
You can reach me by email or on LinkedIn.
Research interests
Featured work
“The Effect of Artificial Intelligence Exposure on Labor Productivity”
Using a panel of 59 U.S. industries from 1997 to 2024, I find no statistically significant effect of AI exposure on labor productivity, in either the early-AI or the generative-AI era, through 2024.