Current Labs & Applied AI

Demis Hassabis

Co-founded DeepMind and led AlphaGo, AlphaFold, and Gemini — spanning reinforcement learning breakthroughs, a Nobel Prize-winning protein-folding model, and frontier LLMs.

Demis Hassabis (b. 1976) was a chess prodigy and video game designer before co-founding DeepMind in 2010 with a stated mission of "solving intelligence, and then using that to solve everything else." The lab's first major result, AlphaGo, combined deep neural networks with reinforcement learning and tree search to beat the world's top Go players in 2016 — a game long assumed to be decades away from falling to computers because of its vast search space and reliance on pattern recognition rather than brute-force calculation.

DeepMind's most consequential result came later. AlphaFold, released in 2020 and open-sourced in 2021, predicted 3D protein structures from amino acid sequences at a level of accuracy that essentially solved a 50-year-old grand challenge in biology, and made its predictions for nearly all catalogued proteins freely available to researchers worldwide. Hassabis and DeepMind colleague John Jumper shared the 2024 Nobel Prize in Chemistry for the work — one of the very few Nobel Prizes awarded specifically for an AI system's output.

After Google merged DeepMind with its Brain team in 2023, Hassabis took over as CEO of the combined Google DeepMind, now responsible for the Gemini family of models — putting the same organization behind board-game superhuman play, scientific discovery, and frontier LLMs.

See also: Noam Shazeer

Learn more: Reinforcement Learning · Wikipedia: Demis Hassabis