I am a third-year Computer Science PhD student at Cornell Tech, gratefully advised by Prof. Vitaly Shmatikov. Broadly, my interests are somewhere in the (vast) union of machine learning, security, privacy, and interpretability. Nowadays, I've been thinking a lot about the structure of knowledge in generative AI and what it may reveal about our definitions and models of "safety." The work is mainly split across two domains: (1) the (universal) geometry of embeddings and (2) the security of multi-agent orchestration and topology.
Before my PhD, I was at the University of Washington, Seattle, where I completed an M.S. in Computer Science and a B.S.B.A. in Computer Science and Mathematics, Philosophy (with honors). I was primarily advised by Prof. Sewoong Oh, and also had the pleasure of spending time, separately, with Prof. Rajesh Rao, and Spencer Sevilla.
Interspersed between, I spent time doing security and AI work at Microsoft, most recently as a Research Intern, ranging from defenses for multi-agent systems to detections for large-scale criminally-orchestrated attacks.
You can reach me via the Connect tab on the main page.