Natania Wong

Natania is a pre-doctoral research fellow who studies 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. Her research focuses on identifying who benefits, who is left behind, and how policy can support workers during periods of technological change.

Born and raised in Hong Kong, Natania moved to the Bay Area as a teenager. Experiencing two very different social and political environments inspired her curiosity about how well-designed, evidence-based policies can transform people’s lives and expand economic opportunity. She graduated with honors in Economics and a minor in Data Science from UC Berkeley, where she completed a senior thesis on immigrant social mobility. Her interests lie in labor economics, inequality, and public policy, and has previously conducted empirical research at UC Berkeley’s Institute for Research on Labor and Employment (IRLE).

When she’s not working with data, Natania is probably bouldering, knitting, or watching the Premier League.