Natania
Wong

I am a pre-doctoral fellow at Stanford Digital Economy Lab. I study how the rapid adoption of generative AI technologies is reshaping the labor market — from shifts in skill demand and changes in employment and earnings, to the evolving nature of where and how people work. My research focuses on identifying who benefits, who is left behind, and how policy can support workers during periods of technological change.

I graduated with honors in Economics and minor in Data Science from the University of California, Berkeley. My research focuses on how AI adoption alters the labor market landscape, with a particular interest in labor economics, inequality, and public policy.

Before my predoctoral program, I was a research assistant for Professor Michael Reich in UC Berkeley's Institute for Research on Labor and Employment (IRLE), where I explored minimum wage effects. Before my time at IRLE, I worked on my senior honors thesis on first-generation immigrants' social mobility with Blinder-Oaxaca Decomposition. I also spent time at San Diego Taxpayers Association working on local policy research.

When I'm not working with data, I'm probably knitting, reading, or watching the Premier League. For book recommendations, visit my Goodreads. For my knits and other fun things, see my fun page →