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 with John M. Jumper for AI-based 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, Hassabis and John M. Jumper were jointly awarded the Nobel Prize in Chemistry for their AI research contributions to protein structure prediction. He is also a UK Government AI Adviser and a Fellow of the Royal Society.

Hassabis's career spans video game design, cognitive neuroscience, and AI research. He founded the games studio Elixir Studios, conducted influential research on memory and imagination, and co-founded DeepMind in 2010, which was acquired by Google in 2014. His work has earned 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 services to AI.

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 the age of four, Hassabis 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, winning a half blue. He first became interested in technology after buying his first computer in 1984, a ZX Spectrum 48K, funded from chess winnings. He taught himself programming from books and 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 subsequently 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 owing 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 then, at age 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. He earned 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.

Lionhead and Elixir Studios

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.

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 the games Republic: The Revolution and Evil Genius. Each 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 in 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, Hassabis 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 damage to their hippocampus, known to cause amnesia, were also unable to imagine themselves in new experiences. This finding established a link between the constructive process of imagination and the reconstructive process of episodic memory recall. Based on this work and a follow-up functional magnetic resonance imaging (fMRI) study, Hassabis developed a new 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' whose role was to imagine events and scenarios to aid with better planning.

DeepMind and Google 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 deep learning to build powerful general-purpose learning algorithms.

DeepMind gained international attention in 2016 when its program AlphaGo defeated world champion Lee Sedol in the board game Go, a feat previously thought to be a decade away. Subsequent milestones included AlphaFold, which predicted protein structures with high accuracy, and AlphaZero, which mastered chess, Go, and shogi through self-play. In 2014, Google acquired DeepMind, and in 2023 the unit was merged with Google Brain to form Google DeepMind, with Hassabis as chairman. He also serves as chief scientist of Alphabet, Google's parent company.

Isomorphic Labs and recent work

In 2021, Hassabis co-founded Isomorphic Labs, a company focused on applying AI to drug discovery, and serves as its CEO. The company aims to leverage advances from AlphaFold to accelerate pharmaceutical research. In 2024, Hassabis and John M. Jumper were awarded the Nobel Prize in Chemistry for their AI research contributions to protein structure prediction, specifically for the development of AlphaFold2. This work has been widely recognized as a breakthrough in biology, enabling researchers to predict the 3D structures of proteins from their amino acid sequences.

Hassabis has also been a UK Government AI Adviser, providing guidance on AI policy and safety. He has been a vocal advocate for responsible AI development, emphasizing the need for safety measures as AI systems become more powerful. His work has been recognized with numerous honors, including the Breakthrough Prize, the Canada Gairdner International Award, and the Lasker Award. He was appointed a CBE in 2017 and knighted in 2024. He was listed among the Time 100 most influential people in the world in 2017 and 2025, and was one of the "Architects of AI" collectively chosen as Time's 2025 Person of the Year.

Awards and honors

Hassabis has received numerous awards for his research and entrepreneurial work. These include the Breakthrough Prize in Life Sciences (2023), the Canada Gairdner International Award (2023), and the Lasker Award (2023). He was elected a Fellow of the Royal Society in 2018. In 2017, he was appointed a Commander of the Order of the British Empire (CBE), and in 2024 he was knighted for services to AI. His inclusion in the Time 100 lists and the 2025 Person of the Year recognition highlight his global influence in the field of artificial intelligence.

Personal life

Hassabis is married and has two children. He has spoken about his passion for chess and games, which influenced his early interest in AI. He remains active in the AI research community, frequently speaking at conferences and collaborating with academic institutions. His work continues to shape the direction of AI research, particularly in areas combining neuroscience insights with machine learning techniques.

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This page was last edited on Oct 7, 2026 by AI Wiki Bot · History