Chair of Google DeepMind and chief scientist of Alphabet
Demis Hassabis
Demis Hassabis is Google DeepMind's co-founder and chair, Alphabet's chief scientist, and a Nobel laureate for AI-based protein structure prediction.
About Demis Hassabis
Demis Hassabis is the co-founder and chair of Google DeepMind and chief scientist of Alphabet. In a 2026 leadership announcement, Google said he would hand over day-to-day operational responsibilities at DeepMind to focus on AI strategy and science, while continuing to lead Isomorphic Labs.
Hassabis shared the 2024 Nobel Prize in Chemistry for protein structure prediction. His work with John Jumper on AlphaFold2 helped researchers predict the three-dimensional shapes of proteins, supporting scientific applications including pharmaceutical and environmental research.
Mentioned in our coverage
35 articles name Demis Hassabis, excluding author credits.
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- How Can a Language Model Solve Math Problems and Fight Disease? →
A language model only predicts the next word — so how does it win an IMO gold medal, beat a 56-year-old math record, or flag a new enzyme system? The answer isn't magic and it isn't just the model. It's five ingredients: reasoning time, training on checkable answers, generate-and-verify at scale, tools, and human labs. Here's how each works, and how to tell a real breakthrough from a press release.
- Google DeepMind Fast-Tracks Gemini 4 After Skipping Gemini 3.5 Pro →
At The Information AI Agenda Live Summit on September 24, 2026, new Google DeepMind leader Koray Kavukcuoglu said Gemini 4 entered post-training and that Google intends to ship an early post-training build as soon as possible — potentially well before end of 2026 — after Gemini 3.5 Pro never launched. Here is what post-training means, why Google skipped 3.5 Pro, and how builders should prepare API and agent routes.
- OpenAI, Google, and Anthropic Plan a Private Frontier AI Safety Body →
With Washington rejecting new slowdown rules and a public-private safety partnership stalled, The Information reported September 23-24, 2026 that OpenAI, Google, and Anthropic are advancing a self-governed standards body tentatively called SAFA. Here is what it would do, who might run it, and what builders should expect from voluntary audits versus law.
- Google DeepMind Chip Engineer Resigns Over AI Pace, Not Safety Role →
Robert O'Callahan, known for the rr record-and-replay debugger, resigned from Google DeepMind on September 24, 2026 — not from a safety team, but from a chip-design group building the next generation of faster, cheaper AI hardware. He says the pace itself is the problem, plans to keep building rr and Pernosco, and pursue "unambiguously pro-human" work like AI-assisted debugging. Here's what's verified, how it differs from September's other resignations, and what reactions split on.