Michael Hu

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.

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 climbing.

I’m on the industry job market!

Michael Hu
Sum 2026 Gave talks on OP-Mix at Cohere, Percepta, and Datology.
May 2026 New paper: Efficient and Simple Data Mixing All The Time (OP-Mix).
Feb 2026 New paper: Neural Neural Scaling Laws.
Sum 2025 Gave talks on Aioli and pre-pretraining at Harvard ML Foundations, MIT Language & Intelligence, and Genesis Molecular AI.
Jul 2025 Pre-pretraining won an Outstanding Paper Award at ACL 2025! 🏅
May 2025 New paper: Scaling Laws Are Unreliable for Downstream Tasks.
Spr 2025 Gave talks on pre-pretraining at École Normale Supérieure CoML, FLaNN, Ryco Lab Reading Group, and CDS Seminar.