# Demis Hassabis Sir Demis Hassabis (born 27 July 1976) is a British AI researcher and entrepreneur, co-founder and chairman of Google DeepMind, chief scientist of Alphabet, and CEO of Isomorphic Labs. He won the 2024 Nobel Prize in Chemistry for AI-driven protein structure prediction. Sir Demis Hassabis (born 27 July 1976) is a British artificial intelligence researcher and entrepreneur. He is the chairman and co-founder of Google DeepMind, the chief scientist of Alphabet, and the chief executive officer and co-founder of Isomorphic Labs. In 2024, he and John M. Jumper were jointly awarded the Nobel Prize in Chemistry for their AI research contributions to protein structure prediction. Hassabis also serves as a UK Government AI Adviser. Hassabis is a Fellow of the Royal Society and has received numerous awards, including the Breakthrough Prize, the Canada Gairdner International Award, and the Lasker Award. He was appointed a CBE in 2017 and knighted in 2024 for his work on AI. He was listed among the Time 100 most influential people in 2017 and 2025, and was one of the "Architects of AI" collectively chosen as Time's 2025 Person of the Year. ## Early life and education Hassabis was born to Costas and Angela Hassapis. His father is a Greek Cypriot and his mother is a Chinese Singaporean. He grew up in North London. His original surname was "Hassapis" (Greek: Χασάπης), meaning "butcher" in Greek, but he later changed it to "Hassabis". One of his younger brothers still carries the original surname. A child prodigy in chess from age four, Hassabis learned the game by watching his father play against his uncle. He reached master standard at age 13 with an Elo rating of 2300 and captained many England junior chess teams. He represented the University of Cambridge in the Oxford–Cambridge varsity chess matches of 1995, 1996, and 1997, earning a half blue. His interest in technology began in 1984 when he bought his first computer, a ZX Spectrum 48K, funded from chess winnings. He taught himself programming from books and later wrote his first AI program on a Commodore Amiga to play the reversi board game. Between 1988 and 1990, Hassabis attended Queen Elizabeth's School, Barnet, a boys' grammar school in North London. He was then home-schooled by his parents for a year before studying at Christ's College in East Finchley. He completed his A-level exams two years early at age 16. ### Bullfrog Productions Asked by Cambridge University to take a gap year due to his young age, Hassabis began his computer games career at Bullfrog Productions after entering an Amiga Power "Win-a-job-at-Bullfrog" competition. He started by playtesting on Syndicate and at 17 co-designed and lead-programmed the 1994 game Theme Park with designer Peter Molyneux. Theme Park, a simulation video game, sold several million copies and inspired a genre of simulation sandbox games. Despite being offered a seven-figure sum to remain in the games industry, he turned it down, earning enough from his gap year to pay his own way through university. ### University of Cambridge Hassabis left Bullfrog to study at Queens' College, Cambridge, where he completed the Computer Science Tripos and graduated in 1997 with a double first. ## Career and research ### Lionhead After graduating, Hassabis worked at Lionhead Studios, where Peter Molyneux had recently founded the company. At Lionhead, Hassabis served as lead AI programmer on the 2001 god game Black & White. ### Elixir Studios Hassabis left Lionhead in 1998 to found Elixir Studios, a London-based independent games developer, signing publishing deals with Eidos Interactive, Vivendi Universal, and Microsoft. In addition to managing the company, he served as executive designer of Republic: The Revolution and Evil Genius. Both received BAFTA nominations for their interactive music scores, created by James Hannigan. The release of Republic: The Revolution, a highly ambitious political simulation game, was delayed due to its huge scope, which involved an AI simulation of an entire fictional country. The final game was reduced from its original vision and received lukewarm reviews, with a Metacritic score of 62/100. Evil Genius, a tongue-in-cheek Austin Powers parody, fared better with a score of 75/100. In April 2005, the intellectual property and technology rights were sold to various publishers, and the studio was closed. ### Neuroscience research Following Elixir Studios, Hassabis returned to academia to obtain his PhD in cognitive neuroscience from UCL Queen Square Institute of Neurology in 2009, supervised by Eleanor Maguire. He sought inspiration from the human brain for new AI algorithms. He continued his neuroscience and AI research as a visiting scientist at the Massachusetts Institute of Technology (MIT) in the lab of Tomaso Poggio, and at Harvard University, before earning a Henry Wellcome postdoctoral research fellowship to the Gatsby Computational Neuroscience Unit at UCL in 2009, working with Peter Dayan. Working in the field of imagination, memory, and amnesia, he co-authored several influential papers published in Nature, Science, Neuron, and PNAS. His first academic work, published in PNAS, showed systematically for the first time that patients with hippocampal damage, known to cause amnesia, were also unable to imagine themselves in new experiences. This finding established a link between imagination and episodic memory recall. Based on this work and a follow-up functional magnetic resonance imaging (fMRI) study, Hassabis developed a theoretical account of the episodic memory system, identifying scene construction as a key process underlying both memory recall and imagination. This work received widespread media coverage and was listed in the top 10 scientific breakthroughs of the year by the journal Science. He later generalized these ideas to advance the notion of a 'simulation engine of the mind' for imagining events and scenarios to aid planning. ### DeepMind Hassabis is the CEO and co-founder of DeepMind, a machine learning AI startup founded in London in 2010 with Shane Legg and Mustafa Suleyman. Hassabis met Legg when both were postdocs at the Gatsby Computational Neuroscience Unit, and he and Suleyman had been friends through family. He also recruited his university friend and Elixir partner David Silver. DeepMind's mission is to "solve intelligence" and then use intelligence "to solve everything else." More concretely, DeepMind aims to combine insights from systems neuroscience with advances in [machine-learning](https://www.wikiprompt.org/wiki/machine-learning) and [deep-learning](https://www.wikiprompt.org/wiki/deep-learning) to build powerful general-purpose algorithms. The company gained international attention in 2016 when its program AlphaGo defeated world champion Lee Sedol at the board game Go, a milestone in [artificial-intelligence](https://www.wikiprompt.org/wiki/artificial-intelligence) research. In 2014, DeepMind was acquired by Google, and in 2023 it merged with Google Brain to form Google DeepMind, with Hassabis as chairman. He also serves as chief scientist of Alphabet, Google's parent company. Under his leadership, DeepMind developed AlphaFold, a system that predicts protein structures from amino acid sequences, solving a 50-year-old grand challenge in biology. AlphaFold's open-source database has been used by over a million researchers worldwide. In 2021, Hassabis co-founded Isomorphic Labs, a company applying AI to drug discovery, and serves as its CEO. He also advises the UK government on AI policy. ## Awards and honors Hassabis has received numerous awards for his research. In 2024, he and John M. Jumper were awarded the Nobel Prize in Chemistry for their work on protein structure prediction. He has also received the Breakthrough Prize, the Canada Gairdner International Award, and the Lasker Award. He was appointed CBE in 2017 and knighted in 2024. He was named in the Time 100 list in 2017 and 2025, and was one of the "Architects of AI" chosen as Time's 2025 Person of the Year. ## Personal life Hassabis is married and has two children. He lives in London. He remains an avid chess player and has spoken about the influence of games on his approach to AI research. ## Legacy and impact Hassabis is widely regarded as one of the leading figures in modern AI. His work spans game playing, neuroscience, and protein science, and he has been a vocal advocate for the safe and ethical development of [artificial-intelligence](https://www.wikiprompt.org/wiki/artificial-intelligence). His contributions have influenced fields as diverse as [machine-learning](https://www.wikiprompt.org/wiki/machine-learning), [neural-network](https://www.wikiprompt.org/wiki/neural-network) research, and [generative-ai](https://www.wikiprompt.org/wiki/generative-ai). He continues to push the boundaries of AI through his roles at Google DeepMind and Isomorphic Labs, and his work on protein folding has opened new avenues in biology and medicine. --- Source: https://www.wikiprompt.org/wiki/demis-hassabis-3 License: CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0/) Last updated: 2026-10-07T16:37:18.331242+00:00