CEO of DeepMind Technologies
Appears in 9 stories
2024 Nobel laureate in Chemistry; leads both DeepMind's research and its drug-discovery spinoff
Determining the three-dimensional shape of a single protein used to take a graduate student an entire career. In March 2026, Google DeepMind released AlphaFold 4, a system that predicts the structure of multi-protein complexes in minutes rather than hours or days, extending a streak of capability gains that began when the original AlphaFold won a protein-prediction competition in 2018. Weeks earlier, DeepMind's drug-discovery spinoff Isomorphic Labs disclosed a proprietary model called IsoDDE that more than doubles AlphaFold 3's accuracy on key drug-design benchmarks, while a team at the National University of Singapore published D-I-TASSER, a tool that outperforms both AlphaFold 2 and AlphaFold 3 on difficult multi-domain proteins.
Updated Mar 6
2024 Nobel Laureate in Chemistry for AlphaFold
It took thirteen years and $2.7 billion to read the first human genome. Now a single AI model, trained on 9 trillion DNA base pairs from more than 128,000 species, can predict whether an uncharacterized mutation in a breast cancer gene is dangerous—with 90 percent accuracy—without ever being shown that gene. On March 4, the Arc Institute and NVIDIA published Evo 2 in Nature, the largest biological foundation model ever built: 40 billion parameters, a context window of one million nucleotides, and the ability to design synthetic genomes the size of a simple bacterium.
Updated Mar 5
Leading Google's AI efforts; 2024 Nobel laureate in Chemistry
OpenAI launched the first commercial reasoning model in September 2024. Seventeen months later, Google claims its upgraded Gemini 3 Deep Think has pulled ahead on the benchmarks that matter most for science. The February 2026 update scored 84.6% on ARC-AGI-2—a test designed to measure how well artificial intelligence generalizes to novel problems—and 48.4% on Humanity's Last Exam, a collection of 2,500 expert-level questions crowdsourced from nearly 1,000 specialists worldwide.
Updated Feb 13
2024 Nobel Prize in Chemistry laureate
For decades, finding a drug meant testing millions of compounds one by one—a process that consumed years and billions of dollars before a single candidate reached patients. On January 9, 2026, researchers at Tsinghua University published DrugCLIP in Science, demonstrating a system that screened 500 million compounds against 10,000 human proteins in under 24 hours using just eight graphics processing units. The platform is 10 million times faster than conventional molecular docking.
Updated Feb 1
2024 Nobel Prize Laureate in Chemistry
For twenty years after scientists sequenced the human genome, 98% of it remained essentially unreadable. The protein-coding genes were mapped, but the vast regulatory regions—the genome's operating system—stayed opaque. On January 28, 2026, Google DeepMind released the full source code for AlphaGenome, an artificial intelligence model that predicts how genetic variants in these non-coding regions affect gene regulation and disease.
Updated Jan 31
Leading development of self-improving AI systems, predicting AGI within 5-10 years
Google DeepMind announced in May 2025 that AlphaEvolve—an AI agent powered by Gemini—discovered a way to speed up Gemini's own training by 23%. The system found smarter matrix multiplication algorithms, shaving 1% off training time for a model that costs $191 million to train. Small numbers, massive implications: AI just started improving the process that creates AI. In January 2026, DeepMind CEO Demis Hassabis told the World Economic Forum in Davos that genuine human-level AGI is now 'five to 10 years' away, with Google's latest Gemini 3 model topping performance leaderboards.
CEO of Google DeepMind; announced UK automated lab and Genesis DOE partnership
Science magazine named large language models doing frontier science a runner-up breakthrough of 2025. Within weeks, the prediction became reality: OpenAI's GPT-5.2 solved previously unsolved Erdős mathematics problems in 15 minutes, achieving 40% accuracy on expert-level mathematics that stumped earlier systems. DeepMind announced its first automated laboratory in the UK for 2026, pairing Gemini with robotics to synthesize hundreds of materials daily. Google partnered with the U.S. Department of Energy on Genesis, a national AI-for-science platform mobilizing 17 national laboratories.
Updated Jan 22
Leading DeepMind's reasoning breakthroughs and AGI research
OpenAI's GPT-5 dropped on August 7, 2025, completing AI's transformation from chatbots that string words together to systems that actually think through problems step-by-step. Google DeepMind's reasoning models won gold at the International Math Olympiad, solving problems only five human contestants cracked. Anthropic's Claude, Meta's Llama, and every major AI lab sprinted to build models that pause, plan, and reason rather than just predict the next word.
Updated Jan 8
Overseeing Gemini’s research-to-product pipeline as releases accelerate.
The rollout didn’t stop at “Flash is the default.” In the days after launch, Google filled in the missing contract with developers: Gemini 3 Flash Preview is now explicitly priced in the Gemini API, with context caching rates, batch pricing, and a clear note that Gemini 3-era Search grounding will begin billing on January 5, 2026.
Updated Dec 20, 2025
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