Jeff Dean
Chief Scientist of Google DeepMind and Google Research; co-author of the TensorFlow white paper
- Chief Scientist, Google DeepMind and Google Research, Google DeepMind and Google Research12
Jeff Dean is Google's Chief Scientist for Google Research and Google DeepMind; Google's author page notes that Dean joined the company in 1999 and has held several leadership roles there. Dean is a co-author of the TensorFlow white paper, which describes the system built at Google and its release as open source under the Apache 2.0 license, and of the 2017 paper that introduced the sparsely-gated mixture-of-experts layer. Dean is listed among the executive sponsors of the first Gemma technical report and among the sponsors of the Gemma 2 and Gemma 3 reports.1235789
Work
TensorFlowOpen-source code
Co-author of the 2015 TensorFlow white paper and of the 2016 paper TensorFlow: A system for large-scale machine learning; the white paper describes the interface and implementation built at Google and their open-source release under the Apache 2.0 license.34
GemmaOpen weights
Listed among the executive sponsors in the 2024 Gemma report, which releases pretrained and fine-tuned checkpoints, and among the sponsors of the Gemma 2 and Gemma 3 technical reports.789
Sparsely-gated mixture-of-experts layer (external site: arxiv.org)Published research
Co-author of Outrageously Large Neural Networks (2017), a paper with Google Brain authors that applies conditional computation through a sparsely-gated mixture-of-experts layer.5
Google's Neural Machine Translation system (GNMT) (external site: arxiv.org)Published research
Co-author of the 2016 paper presenting GNMT, Google's neural machine translation system.6
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