I co-lead the Post-training Frontiers team at OpenAI with Yann Dubois. We post-train and deploy large frontier models like o1, o3, and GPT-5-Thinking.

Before OpenAI, I earned my PhD from Stanford’s CS department. I was fortunate to be advised by Chelsea Finn and Christopher D. Manning. My PhD work focused on making foundation models, particularly language models, more trustworthy and easy to use. Some particular topics of interest were (and still are) factuality, continual learning, intent understanding, and scalable oversight. Much of my PhD was generously supported by a Knight-Hennessy Graduate Fellowship and a Stanford Accelerator for Learning grant for Generative AI for the Future of Learning.

In the summer of 2022, I was a research scientist intern at DeepMind in London, where I was lucky to spend four months working with Junyoung Chung, Nate Kushman, and Aäron van den Oord.

Before my PhD, I was a research engineer at Samsung’s AI Center in New York City, where I learned constantly from Volkan Isler, Daniel D. Lee, and many other wonderful (and patient) people. As an undergraduate, I completed my thesis under the guidance of H. Sebastian Seung after many hours in the Seung Lab at the Princeton Neuroscience Institute. I was also a captain of Princeton’s varsity men’s golf team.

In my free time, I make music for guitar and voice. I enjoy the outdoors, particularly playing golf, exploring mountains, and SCUBA diving.