President @IsomorphicLabs: solving disease with AI. Prev: Deepmind, Vision Factory (acq. Google), Oxford VGG.
London, England
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Huge news today at Isomorphic Labs!
We have secured $2.1 Billion investment to advance the most important mission that AI can unlock: to change the way we can improve human health and create new medicines for patients around the world.
This funding milestone was built on the strength of our AI drug design engine (IsoDDE), which has already proven its worth (aside from smashing benchmarks) by designing breakthrough new molecules and creating new scientific breakthroughs across our drug discovery programs.
Our IsoDDE is giving us a repeatable way to design new medicines for a wide range of diseases, building a future of medicine that we couldn’t unlock until now.
A massive thank you to our incredible team across London, Boston and Lausanne, whose relentless work made this possible, and to our partners who share our ultimate vision.
Now we have so much more to build together!
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Looking forward to talking about how we move past the current AI hype and build systems that can improve human health. See you in November!
#BloombergTech London welcomes @maxjaderberg to the 2026 lineup of speakers.
Learn more here:
bloom.bg/4xqBD1u
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Max Jaderberg retweeted
Excited to release AlphaGenome Atlas 🧬 We used AlphaGenome to predict the regulatory impact of all 9B possible SNVs in the human genome. We collaborated with amazing scientists to analyze and apply it, and developed a portal to browse the genome using this new lens 🔬
🌐 Portal: alphagenome.google/atlas
📖 Blog: goo.gle/4heuCvn
📄 Preprint: deepmind.google/blog/alphage…
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Max Jaderberg retweeted
The prediction: 5 years for the industry to realise AI is essential in drug design and development – @maxjaderberg.
While this episode aired a year ago, we’ve been building for almost 5 years already, and have always held the conviction that our AI will redefine how new medicines are made.
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Interesting to see a benchmark for discovery that seems to have a meaningful axis of difficulty (at least wrt frontier models). And given that humans can solve first try.
We find that
1) Opus 5 & Fable marked a real increase in ability on these games, but they still struggle with the hardest tiers of games (Tiers 6 and 7)
2) Agentic harnesses like Prime don’t offer any benefit over a basic (non coding!) harness
3) There’s a large gap between closed-source (Opus 5) and open-source models (Kimi K3) and another big gap to smaller open-source models (Qwen 3.6 27B)
Finally, rule discovery really is the bottleneck in these games: when we give the ground-truth rules in plain language, even the previously weakest models score near perfect.
(4/5)
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There's never been a better time to lean into using frontier AI towards the most important problems in the world, and at a place that is so singularly focused on achieving that impact like Isomorphic
I’ve been working towards AGI my whole life, and as we enter this pivotal moment, I’m stepping into a new role as Chair of Google DeepMind & Chief Scientist of Alphabet. This will allow me to focus on long-term strategy, and accelerating scientific breakthroughs, including leaning into my work at Isomorphic to help cure disease.
I’m excited that @koraykv will be stepping up to lead GDM as SVP, alongside @joshwoodward and our exec team. I could not be more excited and confident about our amazing next chapter! 🚀
blog.google/company-news/ins…
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Agreed @DeryaTR_ we have already reached the point where most experiments we do in the lab are used to verify what our models have already reasoned about
Exactly what I had been claiming for some time, 💯@demishassabis :
Drug discovery could shrink from 10 years to months, weeks, or even days.
Most experiments may happen in simulations before human validation.
Personalized medicines tailored to individuals could become possible.
Demis believes AI could bring all diseases within reach of treatment.
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Building with Kuba is awesome!
"If you are keen to learn new stuff, you can come here and learn the most important things about the domain itself, on the job…"
Kuba Perlin, ML Staff Research Engineer, shares his insights into Iso's unique approach and explains why a formal science background isn't essential.
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And there is a crazy amount of opportunity to build a future where we see many more of these breakthroughs. We actually have agency here
This is great to see. The scientific community & the general public should be in the habit of celebrating amazing scientific achievements with standing ovations 🎉
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Max Jaderberg retweeted
Cheers, chills, and a standing ovation when RASolute 302 showed unprecedented survival on daraxonrasib for patients with progressive pancreatic cancer
Seldom do you sense you’re witnessing a historic moment in cancer care but this feels like ras targeting has arrived
#ASCO26
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AlphaFold models were a huge breakthrough in understanding biomolecular structure, but AI drug design isn’t just about predicting structures: the real challenge is engineering molecules that solve for potency and toxicity, whilst being actually able to make the molecules in the real world (synthesis). Rebecca and @m_schaarschmid break down our approach to solving this problem.
In the latest episode of @theneurondaily Podcast, @_rebecca_paul and @m_schaarschmidt discuss how we're bringing together machine learning and medicinal chemistry to tackle the messy world of drug discovery.
They discuss the excitement of seeing our Iso drug design engine (IsoDDE) accelerate our evolution from pioneering novel AI models to applying them at scale - delivering scientific breakthroughs with a precision previously thought impossible.
Head to the comments to listen ➡️
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I’ll be at @sxswlndn with @averyklemmer to talk about our mission to solve disease with AI. Always nice to get out and share what the team has been building.
Should AI design the drugs put into your body? Max Jaderberg is the President of Ismorphic Labs – an Alphabet company, spun out from the world-leading AI lab DeepMind, with the sole mission of using AI to revolutionise drug discovery.
In a conversation at @sxswlndn, Jadergberg is joined by Avery Klemmer (Thrive Capital) and Michael de la Merced (New York Times) to discuss drug discovery at digital speed.
Join @sxswlndn in Shoreditch from 1–6 June 2026. sxswlondon.com/passes
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It’s amazing to see what happens when technology actually works. When AI research breakthroughs lead to new models that can be creatively used by drug designers through ridiculously scalable inference infrastructure and result in new scientific progress measured in the real world
Huge news today at Isomorphic Labs!
We have secured $2.1 Billion investment to advance the most important mission that AI can unlock: to change the way we can improve human health and create new medicines for patients around the world.
This funding milestone was built on the strength of our AI drug design engine (IsoDDE), which has already proven its worth (aside from smashing benchmarks) by designing breakthrough new molecules and creating new scientific breakthroughs across our drug discovery programs.
Our IsoDDE is giving us a repeatable way to design new medicines for a wide range of diseases, building a future of medicine that we couldn’t unlock until now.
A massive thank you to our incredible team across London, Boston and Lausanne, whose relentless work made this possible, and to our partners who share our ultimate vision.
Now we have so much more to build together!
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This project is such a cool timeline of progression!
Reproducing all of Schmidhuber’s papers (1990-2025) using an AI coding assistant.
Cool project by @yaroslavvb! It even reproduced the “World Models” paper by me and @SchmidhuberAI with a toy env, with a full VAE + RNN world model implementation.
Project: github.com/cybertronai/schmi…
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Very much new scientific objects that we are only starting to grapple with and even understand how to use. And there will be many more like AlphaFold to come!
AF in itself holds deep explanatory power, from its internals as what is likely to exist (be observable) in the physical world, as well as its outputs because of biomolecular structure being a fundamental mechanical and information-processing layer in nature.
Caveat: This explanatory power only comes if models actually generalise (or within their domain of generalisation).
A deeper question about AlphaFold:
In what sense is even a scientific explanation at all?
It’s not going to have some crazy unforeseen predictive power outside of protein folding, such as say, relativity had on Mercury’s precession.
There's a couple of ways you can interpret this:
1. it's not an explanation at all,
2. it contains little explanations you can extract through interpretability (Magnus Carlsen appears to have changed his game after AlphaZero forensics were published), or
3. it's a genuinely new type of scientific object we don't have the verbs for yet.
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One of the coolest things about Iso is seeing our medicinal chemists and AI engineers come at the same problems from completely different angles.
Our engineers build models that allow us to explore new chemical space, while our scientists bring the intuition you only get from working with molecules in the real world.
The nice thing about all this happening under one roof at Iso is that we continuously bring all this experience back into the models, allowing us to get better and better at design on a computer, allowing our chemists to work on more and more complex problems.
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Max Jaderberg retweeted
The first robot scientist, named Adam, made real discoveries in biology. Now, AI is stepping far beyond lab assistants — into the role of researcher.
sciencenews.org/article/ai-e…
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