Profile

Demis Hassabis, born in London in 1976, is a British AI researcher and entrepreneur. He showed a gift for chess as a child and reached a very high level as a teenager.

After school he went into the games industry and co-designed Bullfrog’s management simulation Theme Park. He then studied computer science at the University of Cambridge and later founded the games studio Elixir Studios. Wanting to understand how human intelligence works, he returned to academia and earned a PhD in cognitive neuroscience at University College London, studying memory and imagination.

In 2010 he co-founded DeepMind with Shane Legg and Mustafa Suleyman. Google acquired the company in 2014. In 2023 DeepMind merged with Google Brain to form Google DeepMind, with Hassabis as CEO. In 2021 he also founded Isomorphic Labs, which applies AI to drug discovery.

Key contributions

Hassabis’s central idea is to combine inspiration from neuroscience with deep learning and reinforcement learning to build general systems that learn on their own, using games and scientific problems as proving grounds.

Early on, DeepMind used deep reinforcement learning to train agents that learned to play many Atari games from screen pixels alone. The AlphaGo line then carried that approach to Go, long regarded as one of AI’s hardest challenges.

He later shifted the team’s focus toward scientific discovery, above all protein structure prediction. A protein’s 3D structure determines its function, but measuring it experimentally can take a long time. AlphaFold predicts structure directly from the amino acid sequence, with accuracy competitive with experiment.

Notable work

  • AlphaGo, which defeated Go world champion Lee Sedol in 2016, a landmark moment in AI history.
  • AlphaZero, which mastered Go, chess and shogi through self-play alone, without human game records.
  • AlphaFold, a breakthrough in protein structure prediction. DeepMind then worked with the European Bioinformatics Institute to release predicted structures for a vast number of proteins, free for researchers worldwide.
  • Leading or helping drive Google’s large-model work, including Gemini.

Honours

  • 2024 Nobel Prize in Chemistry, sharing one half with John Jumper for protein structure prediction.
  • 2023 Lasker Award for Basic Medical Research and 2023 Breakthrough Prize in Life Sciences.
  • 2022 Princess of Asturias Award for Technical and Scientific Research.
  • Fellow of the Royal Society and of the Royal Academy of Engineering.
  • Appointed CBE in 2017 and knighted in 2024 for services to artificial intelligence.

Influence

Hassabis convinced many people for the first time that AI can be more than a product tool: it can drive fundamental science. AlphaFold is used by large numbers of biologists and medical researchers and has changed how structural biology is done.

He has long framed DeepMind’s mission as “solve intelligence, then use it to solve everything else,” and he is one of the best-known advocates of artificial general intelligence. At the same time he stresses that AI must be developed carefully and responsibly, and calls for international cooperation and safety research. Game designer, teenage chess talent, Nobel laureate: his path is itself a vivid case for thinking across disciplines.