Jeff Dean

Jeff Dean is one of the world’s most influential computer scientists, recognised for shaping the technologies that underpin modern artificial intelligence and large-scale computing. As Chief Scientist of Alphabet and Google, he leads the company’s most advanced artificial intelligence research and innovation, helping to define the future of machine learning and digital infrastructure. Throughout his career, Jeff has been responsible for creating many of Google’s most significant technical breakthroughs, from distributed computing systems to cutting-edge AI models. His work has transformed how organisations process data, build intelligent applications and deploy AI at scale. Named to the prestigious TIME100 AI list for driving frontier artificial intelligence breakthroughs, Jeff is hired as a keynote speaker for his unrivalled insight into the future of AI, innovation, engineering leadership and the technologies reshaping business and society.

Jeff studied computer science before completing a PhD, developing expertise in distributed systems and high-performance computing that would define his career. He joined Google as the company’s first Computer Science PhD engineer hire and quickly became instrumental in solving the technical challenges created by the internet’s rapid growth. Jeff co-designed ‘MapReduce’, revolutionising the processing of massive datasets across computer clusters, and co-created ‘Bigtable’, the high-performance structured data storage system that became a foundation of Google’s infrastructure. He later developed ‘Spanner’, a globally distributed NewSQL database delivering consistent planetary-scale performance. Continuing to push AI forward, Jeff co-founded Google Brain to pioneer large-scale deep learning, co-founded and launched ‘TensorFlow’, the open source library that democratised deep learning development, and led the design and deployment of Google’s Tensor Processing Units. As Head of Google AI he unified the company’s machine learning strategy before becoming Chief Scientist of Alphabet and Google, where he also co-led the technical development of the flagship multimodal Gemini AI model.

Jeff’s achievements have earned widespread recognition across engineering and artificial intelligence. He was elected to the National Academy of Engineering for his foundational contributions to large-scale computing systems and has consistently been recognised as one of the world’s leading AI pioneers. His inclusion in the TIME100 AI list reflects both his technical excellence and his influence on the future direction of artificial intelligence. Through interviews, conference presentations and industry discussions, he has become one of the most respected voices explaining how AI is transforming industries, research and everyday life.

As one of the architects behind Google’s most influential technologies, Jeff offers audiences an exceptional combination of technical expertise, strategic vision and practical experience. His career demonstrates how breakthrough innovation can be translated into products used by billions of people, while his leadership of transformative initiatives including Google Brain, TensorFlow, TPUs and Gemini provides unique insight into building world-changing technologies. Whether speaking to technology leaders, business executives or academic audiences, Jeff delivers authoritative perspectives on artificial intelligence, engineering culture, innovation and the future of computing, making him an outstanding keynote speaker for organisations seeking a world-class authority on AI.

Here are some of the key milestones that define Jeff Dean’s remarkable career:

  • 2025 – Named to the prestigious global TIME100 AI list for driving frontier artificial intelligence breakthroughs
  • 2023 – Appointed Chief Scientist of Alphabet and Google to head the newly merged Google DeepMind division
  • 2023 – Named and co-led the technical development of Google’s flagship multimodal Gemini AI model
  • 2018 – Promoted to overall Head of Google AI to orchestrate the company’s global machine learning strategy
  • 2015 – Co-founded and launched TensorFlow, the open-source library that democratised global deep learning development
  • 2015 – Led the design and deployment of Tensor Processing Units (TPUs), Google’s custom AI accelerator hardware
  • 2012 – Co-founded Google Brain to pioneer massive-scale deep learning neural network training