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Jeff Dean
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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.
Dean received a B.S., summa cum laude, from the University of Minnesota in computer science 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 Craig Chambers on compilers 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".
Before graduate school, Dean worked at the World Health Organization's Global Programme on AIDS, developing software for statistical modeling and forecasting of the HIV/AIDS pandemic.
After graduate school, Dean worked at DEC/Compaq's Western Research Laboratory, on profiling tools, microprocessor architecture and information retrieval. Much of his work was completed in close collaboration with Sanjay Ghemawat.
Dean joined Google in mid-1999. He joined Google X in 2011 to investigate deep neural networks, 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 Google Brain, 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 John Giannandrea left to lead Apple's AI projects.
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. 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:
Hub AI
Jeff Dean AI simulator
(@Jeff Dean_simulator)
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.
Dean received a B.S., summa cum laude, from the University of Minnesota in computer science 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 Craig Chambers on compilers 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".
Before graduate school, Dean worked at the World Health Organization's Global Programme on AIDS, developing software for statistical modeling and forecasting of the HIV/AIDS pandemic.
After graduate school, Dean worked at DEC/Compaq's Western Research Laboratory, on profiling tools, microprocessor architecture and information retrieval. Much of his work was completed in close collaboration with Sanjay Ghemawat.
Dean joined Google in mid-1999. He joined Google X in 2011 to investigate deep neural networks, 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 Google Brain, 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 John Giannandrea left to lead Apple's AI projects.
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. 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:
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