I'm a PhD student at Stanford, where I'm fortunate to be advised by Yejin Choi and Nick Haber. I'm grateful to be supported by an NSF Graduate Research Fellowship. Currently, I'm most interested in data efficiency.
Before grad school, I spent a year as a quant researcher working on high-frequency trading. I graduated from Carnegie Mellon in 2023 where I studied computer science and worked on reinforcement learning.
Selected work:
Infinite compute PT
pre-training under infinite compute