Researcher

Blaise Agüera y Arcas

Blaise Agüera y Arcas is a Google vice president and fellow, CTO of Technology & Society, and founder of Paradigms of Intelligence for basic AI research. At Princeton, he earned a physics B.A., attended its applied mathematics Ph.D. program, and used computation to study printing history and neural systems. He directed a collaboration that brought Photosynth to public previews at Microsoft, then contributed to Google’s Federated Learning work, which trains shared models on phones while keeping data on device. His 2024 artificial-life study examined how self-replicating programs emerge, and his 2025 book What Is Life? described life through computation and symbiosis.

Now at
Google and Paradigms of Intelligence
Works
71
Citations
23,408
h-index
22

Publication numbers from OpenAlex, as of 19 October 2026.

Timeline

  1. 1998–2003

    Computation across fields

    He earns a B.A. in physics from Princeton in 1998 and attends its applied mathematics Ph.D. program. In 2001, he uses computation to challenge Gutenberg's role in the invention of movable type. With Adrienne Fairhall and William Bialek, he publishes an analysis of how the Hodgkin–Huxley model neuron computes in 2003.

  2. 2006

    Building Photosynth

    After Live Labs acquires Seadragon in 2006, he joins Microsoft and directs the Photosynth collaboration with Microsoft Research and the University of Washington.

  3. 2008

    The MIT TR35 prize

    MIT Technology Review awards him the TR35 prize in 2008.

  4. 2013

    Google’s mobile intelligence team

    By 2013, he is Google’s principal scientist and leads a team working on machine intelligence for mobile devices. The group uses deep neural networks for machine perception and distributed learning.

  5. 2017

    Federated Learning on phones

    In 2017, he contributes to Google Research’s Federated Learning work, which lets mobile phones train a shared model while keeping training data on device. His Google work also includes on-device machine learning for Android and Pixel.

  6. 2024–2025

    Life as computation

    In 2024, he coauthors a study that finds self-replicating programs can emerge through random interactions in computational environments. His 2025 book What Is Life?: Evolution as Computation presents life as computation that grows more complex through symbiosis.

  7. As of October 2026

    Google Technology & Society CTO

    As of October 2026, he is a Google vice president and fellow, CTO of Technology & Society, and founder of Paradigms of Intelligence, a group for basic research in AI and related fields.

Career

  1. Since 2015GooglePrincipal Scientist
  2. NowParadigms of IntelligenceFounder
  3. 2025–2026Santa Fe Institute
  4. 2006–2012MicrosoftDirector of the Photosynth collaboration

Education

  1. 2003Princeton UniversityApplied Mathematics Ph.D. program
  2. 1998Princeton UniversityB.A. in Physics

Most-cited works

  1. Communication-Efficient Learning of Deep Networks from Decentralized Data2016 · 14,215 citations
  2. Large language models encode clinical knowledge2023 · Nature · 3,992 citationsWith Greg S. Corrado
  3. Toward expert-level medical question answering with large language models2025 · Nature Medicine · 971 citationsWith Greg S. Corrado
  4. Federated Learning of Deep Networks using Model Averaging2016 · 925 citations
  5. Four ethical priorities for neurotechnologies and AI2017 · Nature · 663 citationsWith Meredith Whittaker

Sources and credits

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  1. Faculty Summit 2008 - Microsoft Research microsoft.com. Checked 18 October 2026.
  2. TEDGlobal 2013: Speakers A-Z pastconferences.ted.com. Checked 18 October 2026.
  3. Computation in a single neuron: Hodgkin and Huxley revisited collaborate.princeton.edu. Checked 18 October 2026.
  4. Latest Advances in Bing Maps User Experience and Ecosystem microsoft.com. Checked 18 October 2026.
  5. Blaise Agüera y Arcas - Google Research research.google. Checked 18 October 2026.
  6. Federated Learning: Collaborative Machine Learning without Centralized Training Data research.google. Checked 18 October 2026.
  7. Computational Life: How Well-formed, Self-replicating Programs Emerge from Simple Interaction arxiv.org. Checked 18 October 2026.
  8. What Is Life?: Evolution as Computation books.google.com. Checked 18 October 2026.
  9. A Conversation with Blaise Agüera y Arcas: On Intelligence, Life, and the Future of AI poggio-lab.mit.edu. Checked 18 October 2026.