I'm an Assistant Professor of Computer Science at Yale University, where I research a variety of topics in reliable, scalable machine learning.
My contributions span privacy, security, and evaluation of generative-AI systems, MLSys, and uncertainty estimation. I also do work in tech policy and law, and spend a lot of time finding ways to effectively communicate the capabilities and limits of AI/ML to interdisciplinary audiences and the public. My research has received spotlights, orals, and best-paper accolades at top AI/ML and computing venues, including NeurIPS, ICML, AAAI, and AIES. Work on copyright and Generative AI has been lauded as "landmark" work among scholars and the popular press. My research has been covered in the media at outlets such as The Atlantic, The Washington Post, Bloomberg News, 404 Media, and Wired.