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Jeff Dean

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For the punk rock musician, see Jeff Dean (musician).

Jeff Dean
Dean in 2024
Born (1968-07-23) July 23, 1968 (age 56)
Hawaii
NationalityAmerican
Alma materUniversity of Minnesota, B.S. Computer Science and Engineering (1990)
University of Washington, Ph.D. Computer Science (1996)
Known forMapReduce, Bigtable, Spanner, TensorFlow
Scientific career
FieldsComputer Technology
InstitutionsGoogle; Digital Equipment Corporation
ThesisWhole-program optimization of object-oriented languages (1996)
Doctoral advisorCraig Chambers

Jeffrey Adgate "Jeff" Dean (born July 23, 1968) is an American computer scientist and software engineer. Since 2018, he has been the lead of Google AI.[1] He was appointed Google's chief scientist in 2023 after the merger of DeepMind and Google Brain into Google DeepMind.[2]

Education

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Dean received a B.S., summa cum laude, from the University of Minnesota in computer science and economics in 1990.[3] His undergraduate thesis was on neural networks in C programming, advised by Vipin Kumar.[4][5]

He received a Ph.D. in computer science from the University of Washington in 1996, working under Craig Chambers on compilers[6] and whole-program optimization techniques for object-oriented programming languages.[7] 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".[8]

Career

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Before joining Google, Dean worked at DEC/Compaq's Western Research Laboratory,[9] where he worked on profiling tools, microprocessor architecture and information retrieval.[10] Much of his work was completed in close collaboration with Sanjay Ghemawat.[11][6]

Before graduate school, he worked at the World Health Organization's Global Programme on AIDS, developing software for statistical modeling and forecasting of the HIV/AIDS pandemic.[10]

Dean joined Google in mid-1999, and was appointed the head of its artificial intelligence division in April 2018.[12] While at Google, he designed and implemented large portions of the company's advertising, crawling, indexing and query serving systems, along with various pieces of the distributed computing infrastructure that underlies most of Google's products.[6] 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 Protocol Buffers, 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 Google Translate
  • Bigtable, a large-scale semi-structured storage system[6]
  • MapReduce, a system for large-scale data processing applications[6]
  • LevelDB, 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".[13][14]
  • TensorFlow, an open-source machine-learning software library. He was the primary designers and implementors of the initial system.[15]
  • Pathways, an synchronous distributed dataflow system for neural networks. It was used in PaLM.[15]

He was an early member of Google Brain,[6] a team that studies large-scale artificial neural networks, and he has headed artificial intelligence efforts since they were split from Google Search.[16]

In 2020, after Timnit Gebru tried to publish a paper, Dean wrote that after an internal review concluded that the paper "ignored too much relevant research" and did not meet Google's bar for publication, also noting that it was submitted one day instead of at least two weeks before the deadline. Gebru challenged Google's research review process and wrote that if her concerns were not addressed, they could "work on an end date". Google responded that they could not meet her conditions and accepted her resignation immediately. Gebru stated that she was fired, leading to a controversy. Dean later published a memo on Google's approach to the review process.[17][18]

In 2023, DeepMind was merged with Google Brain to form a unified AI research unit, Google DeepMind. As part of this reorganization, Dean became Google's chief scientist.[2][15]

Philanthropy

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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 UC Berkeley, 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).[19]

Personal life

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Dean is married and has two daughters.[6]

Awards and honors

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Books

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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.[23]

Major publications

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See also

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References

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  1. ^ Vincent, James (April 3, 2018). "Google veteran Jeff Dean takes over as company's AI chief". The Verge. Retrieved November 29, 2023.
  2. ^ a b Elias, Jennifer (April 20, 2023). "Read the internal memo Alphabet sent in merging A.I.-focused groups DeepMind and Google Brain". CNBC. Retrieved June 22, 2023.
  3. ^ "Jeff Dean".
  4. ^ Dean, Jeffrey. "Parallel implementations of neural network training: Two back-propagation approaches." senior thesis, University of Minnesota (1990).
  5. ^ https://x.com/jeffdean/status/1033874204548984833
  6. ^ a b c d e f g "The Friendship That Made Google Huge". The New Yorker. Retrieved December 3, 2018.
  7. ^ "STANFORD TALKS; Jeff Dean: TensorFlow Overview and Future Directions". Stanford University. January 21, 2016. Archived from the original on August 28, 2016. Retrieved August 15, 2016.
  8. ^ "Jeff Dean elected to National Academy of Engineering". UW CSE News. University of Washington. February 5, 2009. Retrieved August 15, 2016.
    - "Jeffrey A Dean - Award Winner". Association for Computing Machinery. Retrieved August 15, 2018.
  9. ^ Metz, Cade (August 8, 2008). "If Xerox PARC Invented the PC, Google Invented the Internet". Wired. Retrieved August 19, 2016.
  10. ^ a b "Jeff Dean". Speakerpedia. Retrieved August 19, 2016.
  11. ^ Metz, Cade (August 8, 2012). "If Xerox PARC Invented the PC, Google Invented the Internet". Wired. Retrieved December 16, 2017.
  12. ^ Anmol (May 8, 2018). "Google Consolidates AI and Machine Learning Research Efforts Under Rebranded Google AI". Beebom. Retrieved June 22, 2023.
  13. ^ Le, Quoc V. (May 2013). "Building high-level features using large scale unsupervised learning". 2013 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE. arXiv:1112.6209. doi:10.1109/icassp.2013.6639343.
  14. ^ Markoff, John (June 25, 2012). "How Many Computers to Identify a Cat? 16,000". The New York Times.
  15. ^ a b c "Jeffrey Dean". Google Research. Retrieved October 25, 2024.
  16. ^ D'Onfro, Jillian (April 2, 2018). "Google is splitting A.I. into its own business unit and shaking up its search leadership". CNBC. Retrieved April 3, 2018.
  17. ^ Ghaffray, Shirin (December 4, 2020). "The controversy behind a star Google AI researcher's departure". Vox. Retrieved December 5, 2020.
  18. ^ Johnson, Khari (December 3, 2020). "Google AI ethics co-lead Timnit Gebru says she was fired over an email". VentureBeat. Retrieved November 2, 2024.
  19. ^ "$1M Hopper-Dean Foundation Gift for Diversity in CS". UC Berkeley. Retrieved January 29, 2019.
    - Williams, Tate (August 10, 2016). "One of Google's Top Programmers Has Made STEM Diversity a Philanthropic Cause". Inside Philanthropy. Retrieved August 15, 2016.
    - "$1 million gift to support diversity in STEM education". Massachusetts Institute of Technology. Retrieved October 25, 2020.
  20. ^ ACM-Infosys Foundation Award
  21. ^ "The Mark Weiser Award". ACM SIGOPS. Retrieved July 5, 2019.
  22. ^ Newly Elected Members, American Academy of Arts and Sciences, April 2016, retrieved April 20, 2016
  23. ^ Ford, Marin (2018). Architects of Intelligence: The Truth About AI from the People Building it. Packt Publishing Ltd. ISBN 9781789131260.
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