Nan Du
Member Of Technical Staff at OpenAI
Mountain View, California, United States
Summary
🤩
Rockstar🎓
Top SchoolNan Du is a research-focused machine learning engineer with a decade of experience building and optimizing giant language models and adaptive computation systems. Having led core model work at Google (GLaM, PaLM 2, Magi) and driven efficiency research at Apple AIML before joining OpenAI, she blends deep academic training (PhD-level computational science) with production-scale deployment experience. Her expertise centers on MoE architectures and sequence modeling, with a practical track record of improving model efficiency at trillion-parameter scale. Based in Mountain View, she’s comfortable spanning research and engineering boundaries to translate cutting-edge ideas into usable systems. Colleagues note her ability to spot algorithmic simplifications that yield outsized infrastructure savings, a skill reflected across major generative search and LLM projects.
10 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy (PhD) Computational Science, Doctor of Philosophy (PhD) Computational Science at Georgia Institute of Technology
Github Skills (2)
deep-learning10
jax9
Programming languages (2)
Github contributions (5)
dunan/dunan.github.io
Nov 2017 - Sep 2019
Contributions:7 pushes, 1 branch in 1 year 10 months
dunan/MultiVariatePointProcess
Aug 2016 - Aug 2016
Contributions:1 commit, 70 pushes, 1 branch in 1 day
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