I am currently a third-year PhD student in Stanford’s CS department, where I’m fortunate to be advised by Chelsea Finn and Chris Manning. The goal of my research is to make the knowledge embedded in neural networks more reusable and updatable in an ever-changing world. I think a lot about meta-learning and continual learning, particularly in large neural networks. I am grateful to be supported by a Knight-Hennessy Graduate Fellowship.
You can find my CV here.
Earlier, 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 also competed for Princeton’s varsity men’s golf team.
In my free time, I make music for guitar and voice. I enjoy the outdoors, particularly golf courses and mountains.