Demis Hassabis
As of October 2026, Demis Hassabis is chair of Google DeepMind and chief scientist of Alphabet. He continues to lead Isomorphic Labs. His early career included chess, programming, and work on Theme Park, followed by computer-science study, game development, and a UCL neuroscience doctorate. He cofounded DeepMind in 2010. The laboratory's teams developed AlphaGo and AlphaFold, which brought learning systems into Go and protein-structure prediction. Hassabis and John Jumper jointly received half of the 2024 Nobel Prize in Chemistry; David Baker received the other half. Koray Kavukcuoglu leads daily DeepMind operations.
- Now at
- Google DeepMind and Isomorphic Labs
- Works
- 180
- Citations
- 189,880
- h-index
- 92
Publication numbers from OpenAlex, as of 14 October 2026.
Timeline
-
Cambridge, game development and UCL; PhD in 2009
Studying how minds work
He studies computer science, develops games, and completes a UCL neuroscience doctorate in 2009.
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2010–2014
Building DeepMind
He helps found DeepMind; Google acquires the company in 2014.
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2015–2016
An audience around a Go board
DeepMind's AlphaGo team defeats Fan Hui and later Lee Sedol.
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2024
A shared Nobel Prize
He and John Jumper share half of the chemistry Nobel Prize for protein-structure prediction.
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As of 10 October 2026
A new strategic role
He is DeepMind chair and Alphabet chief scientist, while Koray Kavukcuoglu leads daily operations.
Sources and credits
Photo: John Sears, via Wikimedia Commons. License: CC BY-SA 4.0. Source: commons.wikimedia.org. Cropped to a square and resized. Ask us to remove or replace this photo.
- Royal Society: Demis Hassabis biography
- UCL: Hassabis's lecture and education, 13 December 2023
- UK government: historical Hassabis biography
- Google DeepMind: AlphaGo project history
- DeepMind: AlphaFold and the 2020 CASP assessment
- Google: bringing DeepMind and Brain together, 20 April 2023
- Nobel Prize in Chemistry 2024: official press release
- Google DeepMind: Nobel announcement, 9 October 2024
- Google: The next chapter of our AI momentum