I am a fourth-year PhD student at the NYU Center for Data Science, advised by Kyunghyun Cho and Tal Linzen. I am supported by the NSF Graduate Research Fellowship.

I study the science of training language models, with a focus on data.

• Curriculum learning: [Aioli], [Pre-pretraining]
• Scaling laws: [Neural neural scaling laws], [Downstream scaling laws],
  [Scaling laws & modeling humans]
• Training dynamics: [Modeling training], [Visualizing training]

Lately, I've started thinking about self-improving models and automating ML research.
Relevant: [Neural neural scaling laws].

Previously, I completed a BSE at Princeton CS, where I spent two lovely years working with Karthik Narasimhan and Tom Griffiths. I then joined Yobi AI for two years as the first employee. In my spare time, I enjoy cooking, running, and playing basketball.