Max Jaderberg

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Max Jaderberg

Max Jaderberg

@maxjaderberg

President @IsomorphicLabs: solving disease with AI. Prev: Deepmind, Vision Factory (acq. Google), Oxford VGG.

London, England Katılım Nisan 2009
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Max Jaderberg
Max Jaderberg@maxjaderberg·
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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Max Jaderberg
Max Jaderberg@maxjaderberg·
@agupta @DeryaTR_ Yes lots. Wet work generates data for models that generalise to novel biology, that means over time we have less wet lab bottleneck on the critical path of getting new medicines to patients
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Ankit Gupta
Ankit Gupta@agupta·
@maxjaderberg @DeryaTR_ surely you’re also doing a lot of wet lab work to generate new data for your models too? esp in patient selection and target discovery (imo the real bottlenecks) that seems key for a team like you guys.
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Max Jaderberg
Max Jaderberg@maxjaderberg·
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
Derya Unutmaz, MD@DeryaTR_

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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John Jumper
John Jumper@JohnJumperSci·
A bit of news: After nearly 9 years, I have decided to leave Google DeepMind and join Anthropic (after taking some time to recharge). I am incredibly grateful for my time at GDM. @demishassabis took a real chance letting me lead the AlphaFold team just six months after finishing my PhD, and the entire GDM team taught me so much about how to do great science. GDM is a special place, and I’ll still be excited to hear about what amazing things they discover next.
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Odyssey
Odyssey@odysseyml·
We’ve raised a $310M Series B to accelerate world models! We believe AI that can understand and simulate the world will be one of the most important technologies of our time. We're excited to partner with Natural Capital, Amazon, GV, AMD, IQT, and others to bring this to life.
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Jacob Kimmel
Jacob Kimmel@jacobkimmel·
on day 1 @newlimit, we imagined it would take 10+ years to invent real medicines. our recent results have accelerated the timeline to next year. we've raised a Series C led by @foundersfund alongside @ThriveCapital, @Greenoaks, and many others to bring therapies to the clinic. medicines for aging are among the most valuable possible technologies. we are grateful to our partners for the opportunity to pursue this mission.
NewLimit@newlimit

Following breakthrough results, we’re bringing longevity medicine to human trials. We’ve raised a $435M Series C led by @foundersfund to make it happen. Reprogramming cell age has the potential to create more healthy years for everyone. We're closer than ever to realizing it.

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Max Jaderberg retweetledi
Mark Lewis, MD, FASCO
Mark Lewis, MD, FASCO@marklewismd·
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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Max Jaderberg
Max Jaderberg@maxjaderberg·
@MartinShkreli Agreed, the design side is just a part of the problem. can’t just improve ability to design against or unlock targets: all hinges on what targets you point the design work on, what patient populations to go after, etc
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Martin Shkreli
Martin Shkreli@MartinShkreli·
@maxjaderberg how do you decide what drug targets to go after for which diseases is probably the most important/interesting question
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Max Jaderberg
Max Jaderberg@maxjaderberg·
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.
Isomorphic Labs@IsomorphicLabs

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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Max Jaderberg
Max Jaderberg@maxjaderberg·
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.
New Scientist@newscientist

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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Max Jaderberg
Max Jaderberg@maxjaderberg·
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
Max Jaderberg@maxjaderberg

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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Ali Madani
Ali Madani@thisismadani·
AI has two modes in drug discovery. Accelerate: moving faster through the existing playbook. Unlock: opening frontiers that weren't possible before. Excited to announce Profluent is partnering with Eli Lilly, the global pharma powerhouse, to unlock breakthrough medicines for patients. It's a big deal beyond the numbers ($2.25B + royalties): we’ll get to use our frontier AI models and foundational datasets to design proteins focused on large gene insertion, a therapeutic moonshot. Proteins govern almost everything in biology. We've built a generalizable AI platform to design all proteins. Onward!
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Max Jaderberg
Max Jaderberg@maxjaderberg·
@Nikshep_09 Exactly. Processes with very high dimensional objects and non-linear dynamics may never be humanly explainable (with human thought). But doesn't mean that they can not be explainable by other forms of intelligence.
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Nikshep Grampurohit
Nikshep Grampurohit@Nikshep_09·
@maxjaderberg The crazy part is these models have learnt some abstraction of a very complex reality. We may never be able to distill that into something that can be interpretable by humans.
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Max Jaderberg
Max Jaderberg@maxjaderberg·
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).
Dwarkesh Patel@dwarkesh_sp

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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Keşfet

@agupta @DeryaTR_ @JohnJumperSci @demishassabis @odysseyml @jacobkimmel @byersblake @newlimit