Nan Du
Atlanta, Georgia, United States
Summary
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RockstarNan 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
Github Skills (2)
jax9
deep-learning9
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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