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Jeffrey Adgate Dean (born July 23, 1968) is an American computer scientist and software engineer. Since 2018, he has been the lead of . He was appointed 's chief scientist in 2023 after the merger of DeepMind and into .


Education
Dean received a B.S., summa cum laude, from the University of Minnesota in and economics in 1990. His undergraduate thesis was on neural networks in C programming, advised by Vipin Kumar.

He received a Ph.D. in computer science from the University of Washington in 1996, working under on and whole-program optimization techniques for object-oriented programming languages. He was elected to the National Academy of Engineering in 2009, which recognized his work on "the science and engineering of large-scale distributed computer systems".
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Career
Before joining , Dean worked at DEC/'s Western Research Laboratory, where he worked on profiling tools, microprocessor architecture and information retrieval. Much of his work was completed in close collaboration with .

Before graduate school, he worked at the World Health Organization's Global Programme on , developing software for statistical modeling and forecasting of the / .

Dean joined Google in mid-1999. He joined in 2011 to investigate , which had just resurged in popularity. This ended with "the cat neuron paper", a deep belief network trained by unsupervised learning on YouTube videos. This project morphed into , also formed in 2011. Jeff Dean became its leader in 2012. In April 2018, he was appointed the head of Google's artificial intelligence division, after left to lead Apple's AI projects.

While at Google, he designed and implemented large portions of the company's advertising, , and query serving systems, along with various pieces of the distributed computing infrastructure that underlies most of Google's products. At various times, he has also worked on improving search quality, statistical machine translation and internal software development tools and has had significant involvement in the engineering hiring process.

The projects Dean has worked on include:

  • Original design of , an open-source data interchange format.
  • Spanner, a scalable, multi-version, globally distributed, and synchronously replicated database
  • Some of the production system design and statistical machine translation system for
  • , a large-scale semi-structured storage system
  • , a system for large-scale data processing applications
  • , an open-source on-disk key-value store
  • DistBelief, a proprietary machine-learning system for distributed training of deep neural networks. The "Belief" part is because it could be used to train deep belief networks. It was eventually refactored into TensorFlow. It was used to train the network in "the cat neuron paper".
    (2013). 9781479903566, IEEE.
  • , an open-source machine-learning software library. He was the primary designer and implementor of the initial system.
  • Pathways, an asynchronous distributed dataflow system for neural networks. It was used in .

He was an early member of , a team that studies large-scale artificial neural networks, and he has headed artificial intelligence efforts since they were split from Google Search.

In 2023, DeepMind was merged with to form a unified AI research unit, . As part of this reorganization, Dean became Google's chief scientist.


Philanthropy
Dean and his wife, Heidi Hopper, started the Hopper-Dean Foundation and began making philanthropic grants in 2011. In 2016, the foundation gave $2 million each to , Massachusetts Institute of Technology, University of Washington, Stanford University and Carnegie Mellon University to support programs that promote diversity in science, technology, engineering and mathematics (STEM).
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Personal life
Dean is married and has two daughters.

He is the subject of an for "Jeff Dean facts". Similar to Chuck Norris facts, the Jeff Dean facts exaggerate his programming powers. For example:

Once, in early 2002, when the index servers went down, Jeff Dean answered user queries manually for two hours. Evals showed a quality improvement of 5 points.


Awards and honors
  • Elected to the National Academy of Engineering (2009)
  • Fellow of the Association for Computing Machinery (2009)
  • ACM-Infosys Foundation Award (2012)
  • ACM SIGOPS Mark Weiser Award (2007)
  • Fellow of the American Academy of Arts and Sciences (2016)
  • Recipient of the IEEE John von Neumann Medal in 2021


Books
Dean was interviewed for the 2018 book Architects of Intelligence: The Truth About AI from the People Building it by the American futurist Martin Ford.
(2025). 9781789131260, Packt Publishing Ltd.


Major publications


See also


External links

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