Researcher @GoogleDeepMind Currently working on pre-training on Gemini team. Core developer of AlphaFold

Joined May 2013
Amazing work by my friends at latent labs!
5 months from Latent-X1 to Latent-X2. AI-generated antibodies with drug-like developability and low immunogenicity in human panels — zero-shot. Available now for selected partners.
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Alex Pritzel retweeted
5 months from Latent-X1 to Latent-X2. AI-generated antibodies with drug-like developability and low immunogenicity in human panels — zero-shot. Available now for selected partners.
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Nice! AlphaFold3 server added interactive pAE and chain division! Including option to download MSA. (Just noticed this when doing a tutorial today!)
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I still fondly remember tracking down tensorflow bugs with Simon while we were building AlphaFold2, very exciting to see how far things have progressed. Keen to see the amazing work @Latent_Labs will do!
Replying to @Latent_Labs
@Latent_Labs comes out of stealth today with $50M funding. Our goal? To push the frontiers of generative biology, giving partners instant access to tools capable of accelerating drug design. Every biotech or pharma company searching for the best therapeutic molecules understands the role AI can play - but not all are in a position to develop their own advanced models. That’s where @Latent_Labs comes in.
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Alex Pritzel retweeted
Honoured and proud to be at the @NobelPrize ceremony today with some of the key members of the AlphaFold team where our @GoogleDeepMind colleagues @demishassabis and John Jumper will be co-awarded the Nobel Prize in Chemistry.
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Demis Hassabis and John Jumper, the 2024 Nobel Prize laureates in chemistry, have developed an AI model to solve a 50-year-old problem: predicting proteins’ complex structures. In 2020, Hassabis and Jumper presented an AI model called AlphaFold2. With its help, they have been able to predict the structure of virtually all the 200 million proteins that researchers have identified. Since their breakthrough, AlphaFold2 has been used by more than two million people from 190 countries. Among a myriad of scientific applications, researchers can now better understand antibiotic resistance and create images of enzymes that can decompose plastic. The illustration below explains how it works. Read more about their story: bit.ly/4diKiJ2
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Alex Pritzel retweeted
So @JeremyFarrar asked for an "explainer thread" on Noble Prizes in Chemistry around AlphaFold and Protein design, so here goes.
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Watch the moment that our President Professor Sir Jim McDonald revealed our 2024 #MacRobertAward winner @GoogleDeepMind at last night's #RAEngAwards Dinner. Find out more about their award-winning GraphCast innovation: raeng.org.uk/news/ai-weather…
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We’re thrilled to have won the prestigious #MacRobertAward for GraphCast - our AI model delivering 10-day weather forecasts with unprecedented accuracy in under one minute via deep learning and vast data sets. Read more about the award here → raeng.org.uk/news/ai-weather…
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Congratulations to our MacRobert winners @GoogleDeepMind for their GraphCast work on AI for weather prediction. Find out more about their award winning innovation: macrobertaward.raeng.org.uk/. #RAEngResearch
We won the MacRobert award by the Royal Academy of Engineering for our GraphCast work on AI for weather prediction! I'm proud to be part of this team and very excited about what's to come in AI for Science&Sustainability!
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Huge congrats to Pete Battaglia & our #GraphCast team who won the #MacRobertAward, the UK’s top award for engineering innovation! GraphCast provides super fast and highly accurate weather predictions up to 10 days in advance, including early warnings for extreme weather events.
🏅 The winner of the 2024 #MacRobertAward is... @GoogleDeepMind Huge congratulations to the team behind GraphCast, which uses machine learning and vast data sets to give highly accurate and timely weather predictions up to 10 days in advance: macrobertaward.raeng.org.uk/ #RAEngAwards
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Extremely proud of my partner in crime @FortunatoMeire and all of #GraphCast team for this award! The thing is heavy 🪙🪙🪙
Huge congrats to Pete Battaglia & our #GraphCast team who won the #MacRobertAward, the UK’s top award for engineering innovation! GraphCast provides super fast and highly accurate weather predictions up to 10 days in advance, including early warnings for extreme weather events.
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“GraphCast is a great example of how engineering innovation can be an important driving force behind economic growth and a sustainable future.” – find out why our judges have awarded @GoogleDeepMind the 2024 #MacRobertAward: raeng.org.uk/news/ai-weather…
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We did it! 📷 Beyond proud to win the #MacRobertAward, the UK's top engineering prize, for #GraphCast! Huge shout-out to my incredible team and friends, you make the hard work a joy. Thanks @RAEngNews for the recognition.
“GraphCast is a great example of how engineering innovation can be an important driving force behind economic growth and a sustainable future.” – find out why our judges have awarded @GoogleDeepMind the 2024 #MacRobertAward: raeng.org.uk/news/ai-weather…
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We've won the MacRobert Award for our work on using AI for weather prediction! Extremely proud to have been part of the GraphCast team, this is one of the best examples of how ML applied to science can make a difference to people's lives! Excited to see what more is to come!
“GraphCast is a great example of how engineering innovation can be an important driving force behind economic growth and a sustainable future.” – find out why our judges have awarded @GoogleDeepMind the 2024 #MacRobertAward: raeng.org.uk/news/ai-weather…
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I am so excited to see this out!! It was an amazing experience working with the team on new directions in the midst of the #AF2 release, and very thankful to be able to contribute. Fun fact, I called my model denoisaur 🦖🦕😂 PS Part of my decision to join @PrincetonCS was the
Announcing AlphaFold 3: our state-of-the-art AI model for predicting the structure and interactions of all life’s molecules. 🧬 Here’s how we built it with @IsomorphicLabs and what it means for biology. 🧵 dpmd.ai/3URDiNo
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Alex Pritzel retweeted
Introducing Gemini 1.5 Flash ⚡ It’s a lighter-weight model, optimized for tasks where low latency and cost matter most. Starting today, developers can use it with up to 1 million tokens in Google AI Studio and Vertex AI. #GoogleIO
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Alex Pritzel retweeted
We love the excitement & results from the community on AlphaFold 3 and are doubling the AF Server daily job limit to 20. Happy to also share that we're working on releasing the AF3 model (incl weights) for academic use, which doesn’t depend on our research infra, within 6 months.
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Here is a AlphaFold/ColabFold tutorial we have recently presented - from basic to more advanced usage, enforcing alternative conformations, modeling interactions, and analysis with ChimeraX and PICKLUSTER. Maybe you find it helpful 🎓 ! Commenting enabled in the doc so feel free to give feedback or submit revision suggestions 🙏 docs.google.com/document/d/1…
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Incredibly cool work analyzing AlphaFold DB and extending our knowledge of protein domains, I'm looking forward to see how people will translate this new resource into expanding our understanding of biology!
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