About Me

I’m an incoming Assistant Professor at Princeton University with appointments in the Department of Computer Science and School of Public and International Affairs. I will also be affiliated with the Princeton Center for Information Technology Policy (CITP) and the Center for Statistics and Machine Learning (CSML).

If you are interested in working on core machine learning research, AI law & policy, or the intersection of them, I will be starting at Princeton in January 2024 and will be recruiting PhD students going forward. Check out ways to work with me here!

My research focuses on aligning machine learning, law, and policy for responsible real-world deployments. This involves two major tracks. First, I develop new machine learning methods that are useful for real world partnerships for public good. For example, we partnered with the Internal Revenue Service to better understand and improve algorithms involved in their tax administration programs, making them more efficient, legally-complaint, and equitable. Second, I develop both technical and regulatory approaches to ensure that AI is used for the benefit of all in a safe and responsible manner. This includes work on AI safety, but also core work on legal doctrine and policy. Some of my work has received coverage by TechCrunch, Science, New York Times, The Wall Street Journal, Bloomberg, and more.

Previously, as a joint degree candidate, I received a JD from Stanford Law School where I was advised by Dan Ho and Mariano-Florentino Cuéllar, as well as worked with many other wonderful colleagues. There, I co-led the Domestic Violence Pro Bono Project, worked on client representation with the Three Strikes Project, and contributed to the Stanford Native Law Pro Bono Project. I will also receive my PhD in Computer Science (AI) at Stanford University where I am lucky enough to be advised by Dan Jurafsky. Before that, I was lucky enough to be advised by David Meger and Joelle Pineau for my M.Sc. at McGill University and the Montréal Institute for Learning Algorithms. I also spent time as a Software Engineer and Applied Scientist at Amazon AWS/Alexa, worked with Justice Cuéllar at the California Supreme Court, was a part-time researcher with the Internal Revenue Service Research, Applied Analytics and Statistics Division, and was a Technical Advisor at the Institute for Security+Technology.

Latest News

• We have two new papers forthcoming in the Journal of Free Speech Law: Where’s the liability in harmful AI speech? (with Tatsunori Hashimoto and Mark Lemley) and Freedom of Speech and AI Output (with Eugene Volokh and Mark Lemley).
• Our paper Self-Destructing Models: Increasing the Costs of Harmful Dual Uses in Foundation Models was presented at AIES 2023!
• Our paper Foundation Models and Fair Use is online!
• Our piece “Algorithmic Rulemaking v. Algorithmic Guidance” will be published in the Harvard Journal of Law and Technology (2024). Draft available on request and will be online soon!