Speakers

Jeff Dean

Jeff  Dean

Position

Senior Fellow, SVP of AI & Health

Company

Google

Description

Jeff Dean (ai.google/research/people/jeff) joined Google in 1999 and is currently a Google Senior Fellow and SVP for Google AI. In this role he oversees Google’s research division as well as the newly created Google Health division. His research teams are working on systems for speech recognition, computer vision, language understanding, and various other machine learning tasks, as well as using machine learning and AI to make advances in healthcare, robotics, and many other areas. 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 also 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.

Jeff received a Ph.D. in Computer Science from the University of Washington in 1996, working with Craig Chambers on whole-program optimization techniques for object-oriented languages. He received a B.S. in computer science & economics from the University of Minnesota in 1990. He is a member of the National Academy of Engineering, and of the American Academy of Arts and Sciences, a Fellow of the Association for Computing Machinery (ACM), a Fellow of the American Association for the Advancement of Sciences (AAAS), and a winner of the ACM Prize in Computing.

Sessions

Keynote 4: An Intelligent Future for All

Conference Monday, 25 Feb 17:00 - 18:30 Hall 4 - Auditorium 1 Industry 4.0
Jeff Dean (ai.google/research/people/jeff) joined Google in 1999 and is currently a Google Senior Fellow and SVP for Google AI. In this role he oversees Google\'s research division as well as the newly created Google Health division. His research teams are working on systems for speech recognition, computer vision, language understanding, and various other machine learning tasks, as well as using machine learning and AI to make advances in healthcare, robotics, and many other areas. 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 also 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. Jeff received a Ph.D. in Computer Science from the University of Washington in 1996, working with Craig Chambers on whole-program optimization techniques for object-oriented languages. He received a B.S. in computer science & economics from the University of Minnesota in 1990. He is a member of the National Academy of Engineering, and of the American Academy of Arts and Sciences, a Fellow of the Association for Computing Machinery (ACM), a Fellow of the American Association for the Advancement of Sciences (AAAS), and a winner of the ACM Prize in Computing.

An Intelligent Future for All

Conference Monday, 25 Feb 17:45 - 18:30 Hall 4 - Auditorium 1
Jeff Dean (ai.google/research/people/jeff) joined Google in 1999 and is currently a Google Senior Fellow and SVP for Google AI. In this role he oversees Google\'s research division as well as the newly created Google Health division. His research teams are working on systems for speech recognition, computer vision, language understanding, and various other machine learning tasks, as well as using machine learning and AI to make advances in healthcare, robotics, and many other areas. 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 also 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. Jeff received a Ph.D. in Computer Science from the University of Washington in 1996, working with Craig Chambers on whole-program optimization techniques for object-oriented languages. He received a B.S. in computer science & economics from the University of Minnesota in 1990. He is a member of the National Academy of Engineering, and of the American Academy of Arts and Sciences, a Fellow of the Association for Computing Machinery (ACM), a Fellow of the American Association for the Advancement of Sciences (AAAS), and a winner of the ACM Prize in Computing.

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