Jeff Dean

Extracted Attributes

• Education

  B.S. in Computer Science and Engineering, University of Minnesota (1990); Ph.D. in Computer Science, University of Washington (1996)

• Full Name

  Jeffrey Adgate Dean

• Known For

  MapReduce, Bigtable, Spanner, TensorFlow, TPUs, BERT

• Birth Date

  1968-07-23

• Birth Place

  Hawaii, United States

• Memberships

  National Academy of Engineering, Association for Computing Machinery (ACM) Fellow

• Employee Number

  30th employee at Google

• Current Position

  Chief Scientist, Google; SVP, Google Research and AI

Timeline

• Born in Hawaii, United States. (Source: Wikipedia)

  1968-07-23

• Graduated from the University of Minnesota with a B.S. in Computer Science and Engineering. (Source: Web Search)

  1990-01-01

• Received a Ph.D. in Computer Science from the University of Washington. (Source: Web Search)

  1996-01-01

• Joined Google as the company's 30th employee. (Source: Web Search)

  1999-01-01

• Initiated a team to design specialized machine learning hardware (TPUs) to improve efficiency. (Source: Web Search)

  2013-01-01

• Appointed as the lead of Google AI. (Source: Wikipedia)

  2018-01-01

• Appointed Google's Chief Scientist following the merger of DeepMind and Google Brain into Google DeepMind. (Source: Wikipedia)

  2023-04-20

• Led the technical launch of Google Gemini, a suite of multimodal AI models. (Source: Document 28121141-2767-4e7a-8206-a64e02347ba7)

  2023-12-06

Jeff Dean

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

Web Search Results

• Jeff Dean - Wikipedia

  Jeffrey Adgate Dean (born July 23, 1968) is an American computer scientist and software engineer. Since 2018, he has been the lead of Google AI. He was appointed Google's chief scientist in 2023 after the merger of DeepMind and Google Brain into Google DeepMind. ## Early life and education [edit] [...] What links here Related changes Upload file Permanent link Page information Cite this page Get shortened URL Download QR code Print/export Download as PDF Printable version In other projects Wikimedia Commons Wikidata item Appearance From Wikipedia, the free encyclopedia American computer scientist and software engineer For the punk rock musician, see Jeff Dean (musician) "Jeff Dean (musician)"). | Jeff Dean | [...] | Dean in 2025 | | Born | (1968-07-23) July 23, 1968 (age 57) Hawaii | | Alma mater | University of Minnesota, B.S. Computer Science and Engineering (1990) University of Washington, Ph.D. Computer Science (1996) | | Known for | MapReduce, Bigtable, Spanner "Spanner (distributed database technology)"), TensorFlow | | Scientific career | | Fields | Computer science | | Institutions | Google, Digital Equipment Corporation |

• Jeff Dean - Google Blog

  Jeff Dean, Senior Fellow and SVP, Google Research and AI # Jeff Dean Senior Fellow and SVP, Google Research and AI Jeff Dean is a Google Senior Fellow and SVP for Google Research and AI, which focuses on basic computer science and AI research and their use in important problem domains. His work has been integral to much of Google’s infrastructure and developer and machine learning tools. ## Featured story Illustration showing colorful dots connected by lines AI

• Jeffrey Dean: The 100 Most Influential People in AI 2025 | TIME

  Google’s chief scientist Jeff Dean is a quiet legend in the world of AI. As the company’s 30th employee, he helped turn Google from a tiny startup into a computational behemoth, building tools crucial for processing huge quantities of data across thousands of machines. Dean is so revered inside the company that his colleagues created a tongue-in-cheek list of “Jeff Dean Facts” one April Fool’s Day. “The speed of light in a vacuum used to be about 35 mph,” reads fact number eight. “Then Jeff [...] # Jeffrey Dean Chief scientist, Google by Billy Perrigo Correspondent [...] Long before the current boom in AI, Dean was thinking about how to position Google for AI dominance. In 2013, after a speech-recognition model showed promising results, he did some back-of-the-envelope calculations to check how many chips Google would need to deploy it. The numbers indicated that doing so would require doubling the number of CPUs in Google’s possession. Dean thought there had to be a much more efficient way to do it. He started a team on a mission to design specialized machine

• Jeff Dean | Stanford HAI

  Jeff Dean joined Google in 1999 and is currently a senior fellow and SVP for Google AI. He oversees Google's research division and health division. His teams are working on systems for speech recognition, computer vision, language understanding, and other machine-learning tasks. He has co-designed/implemented many generations of Google's crawling, indexing, and query-serving systems and co-designed/implemented major pieces of Google's early advertising systems. He is a co-designer and [...] co-implementor of Google's distributed computing infrastructure, including the MapReduce, BigTable, and Spanner systems, protocol buffers, the open-source TensorFlow system for machine learning, and a variety of internal and external libraries and developer tools. He received a PhD in computer science from the University of Washington in 1996. He is a member of the National Academy of Engineering, a fellow of the Association for Computing Machinery (ACM), the American Association for the [...] Jeff Dean | Stanford HAI ### Stay Up To Date Get the latest news, advances in research, policy work, and education program updates from HAI in your inbox weekly. Sign Up For Latest News ###### Navigate About Events Careers Search ###### Participate Get Involved Support HAI Contact Us Skip to content peopleDistinguished Fellows # Jeff Dean Senior Google Fellow, Senior Vice President of Google AI

• Google's Jeff Dean on the Coming Era of Virtual Engineers

  Jeff Dean, who joined Google in 1999 and now serves as Chief Scientist at Alphabet, was instrumental in developing many of the foundational technologies that power today’s AI revolution, including TPUs and key machine learning techniques. Jeff emphasizes the critical interplay between algorithmic innovation and infrastructure scaling while highlighting emerging opportunities in multimodality, agents and specialized computing. [...] Pat Grady: We have Jeff Dean. And if you read Jeff’s bio, he’s run everything at some point in Google, including overseeing the genesis of this industry and the BERT paper that kind of sparked things so many years ago. And we’re very fortunate at Sequoia to have our partner, Bill Coughran, who spent about a decade before Sequoia running most of engineering at Google with Jeff. And so please welcome Jeff and Bill. [applause] [...] At AI Ascent 2025, Jeff Dean makes a bold prediction: we will have AI systems operating at the level of junior engineers within a year. Discover how the pioneer behind Google’s TPUs and foundational AI research sees the technology evolving, from specialized hardware to more organic, brain-inspired systems. ## Listen Now ## Summary

• Instance Of

  Q4167410