Research has won multiple paper awards at top AI conferences and has been featured in The Atlantic, Axios, Bloomberg, Euractiv, Fast Company, Financial Times, Fortune, The Information, MIT Technology Review, Nature, The New York Times, Politico, Quanta, Rappler, Reuters, Tech Policy Press, VentureBeat, The Verge, Vox, The Wall Street Journal, and The Washington Post.
Research Experience
Improved AI governance through major global AI policy efforts including the EU AI Act and its Code of Practice, the California Report on Frontier AI Policy, and the International Scientific Report on AI.
Education
Received a PhD in Computer Science from Stanford, advised by Percy Liang and Dan Jurafsky, and funded by the Stanford Lieberman Fellowship and NSF Graduate Research Fellowship. Prior to Stanford, completed undergraduate and master’s degrees at Cornell Computer Science, advised by Claire Cardie.
Background
Senior Research Scholar at the Stanford Institute for Human-Centered Artificial Intelligence (HAI). Research focuses on the societal and economic impact of AI, especially foundation models, to advance evidence-based AI policy.