Demis Hassabis

Demis Hassabis grew up in London and was a child chess prodigy, beginning chess at an early age and performing at high junior levels while completing his schooling early; he then read Computer Science at the University of Cambridge, graduating with a Double First in 1997. As a teenager and young adult he worked in the videogame industry, contributing to Theme Park during a gap year at Bullfrog and later serving as lead AI programmer at Lionhead Studios on titles such as Black & White. In 1998 he founded Elixir Studios, which produced games including Republic: The Revolution and Evil Genius before he sold his interests and returned to academia. Motivated by questions about human cognition, Hassabis pursued a PhD in cognitive neuroscience at University College London (UCL), studying memory and imagination; his academic work appeared in leading journals and he held postdoctoral appointments and fellowships including at MIT, Harvard and UCL’s Gatsby Computational Neuroscience Unit. In 2010 he co-founded DeepMind with Shane Legg and Mustafa Suleyman to build AI systems inspired by neuroscience, recruiting research talent and pursuing reinforcement learning and deep learning research that combined theoretical work with high-profile applications. DeepMind quickly produced major research milestones: systems that learned to play Atari and board games, AlphaGo which defeated a world champion Go player, and later AlphaFold which produced highly accurate protein structure predictions that transformed computational structural biology. Google/Alphabet acquired DeepMind in January 2014 in what was then one of Europe’s largest tech acquisitions; Hassabis remained to lead the company while the organisation grew to thousands of researchers and expanded into applications in health, science and fundamental AI research. For his scientific and technological contributions Hassabis has received multiple honours including election as a Fellow of the Royal Society, a CBE and later knighthood, and international recognition culminating in the 2024 Nobel Prize in Chemistry for AI work on protein structure prediction shared with John M. Jumper and others. He additionally advises the UK government on AI policy and has founded Isomorphic Labs, an Alphabet spin-out focused on applying AI in drug discovery and biology.