Allan Zhou

I am a research engineer at Google DeepMind. My current research focus is on developing large-scale generative models for robot learning.

I recently completed my PhD at Stanford, advised by Chelsea Finn. There, my core research focused on geometric deep learning and nested optimization. I also worked on learned optimizers as an intern at Google DeepMind, and on reinforcement learning as an intern at Meta’s FAIR.

Previously, I was an AI resident at Google Brain. I obtained my BS at UC Berkeley, advised by Anca Dragan.

Some papers (all)

1. Gemini Robotics: Bringing AI into the Physical World
   Gemini Robotics Team.
   Preprint. [arXiv] [Blogpost]
2. Adaptive Data Optimization: Dynamic Sample Selection with Scaling Laws
   Yiding Jiang*, Allan Zhou*, Zhili Feng, Sadhika Malladi, J. Zico Kolter.
   ICLR 2025. [Blogpost] [arXiv] [Code]
3. Universal Neural Functionals
   Allan Zhou, Chelsea Finn, James Harrison.
   NeurIPS 2024. [arXiv] [Code]