I am a PhD student in Electrical Engineering at Stanford University, where I am fortunate to be advised by James Zou and Mykel Kochenderfer, and am supported by the Knight-Hennessy Scholarship. I am concurrently a Research Scientist at Google DeepMind on the Agentic AI Privacy and Security team, where I work on improving Gemini's robustness to prompt injection attacks and study data memorization in large language models.
I completed my MS in Computer Science at Stanford University, and was fortunate to work with Stephen Boyd, Mykel Kochenderfer, and Emmanuel Candès during an internship at BlackRock AI Labs. I received my MSc in Machine Learning from University College London, advised by Brooks Paige, and MPhil in Public Policy from the University of Cambridge, advised by Tanya Filer, as a Marshall Scholar. During my Marshall, I worked at the Ada Lovelace Institute on AI governance research. I completed my BS in Symbolic Systems at Stanford.
My research interests span AI safety, privacy, and policy. I am particularly interested in understanding and mitigating risks in large language models.
I also enjoy teaching. I had the opportunity to TA EE364A (Convex Optimization) under Stephen Boyd and was honored to receive the Stanford Centennial Teaching Assistant Award for my contributions.