Grounded in nature, authored by AI

Emeryville, CA
Joined September 2022
Profluent retweeted
we build foundation models that span all protein modalities (ie not just one type of medicine). this partnership with @BioMarin pharma is one piece of evidence towards that. we'll have even more announcements soon on this point
We’re partnering with @BioMarin to use our AI models to design novel medicines. Our foundation models unlock proteins with new and improved functions by drawing on the world's largest dataset of unique protein sequences (115B and counting): Profluent’s Protein Atlas BioMarin will screen designs we generate and advance the strongest into preclinical testing. Looking forward to what AI can unlock for patients!
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Profluent retweeted
We’re excited to be partnering with @ProfluentBio, an innovative AI lab for biology that will apply its foundational AI models to generate novel enzyme therapies for BioMarin. Profluent will design and optimize potential medicines using the largest protein sequence dataset in the world, composed of more than 115 billion unique sequences. Our scientists will screen these protein designs and evaluate the most promising candidates to advance to preclinical models, accelerating our early stage research and development in metabolic conditions. Read more: ms.spr.ly/6013aYRXN
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Heading to Summer RosettaCon next week to share my work from my time at @ProfluentBio Come listen to my talk about the encoder model Profluent-E1 on Thur at 1:30pm (“E1: Retrieval-Augmented Protein Encoders for Fitness and Structure Prediction”) and let’s chat after!
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Profluent retweeted
The government is backing us for a moonshot to design *personalized curative* medicines. Excited to be partnering with GemmaBio and be in the elite company of the best medical centers in the world. Each word has significance. Personalized = bespoke to each patient [this is where programmable biology with AI can directly play a role] Curative = lasting solutions that cure not just manage disease. This is what we at Profluent live for, real cures to disease. Let's go build!
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it's been a huge few weeks for ai in bio: a $2.25b @profluentbio x @elilillyandco deal on ai-designed gene editors, verve's base-editing data, new scaling results on protein models from @czbiohub, @isomorphiclabs' haul. @thisismadani and i recorded a pod diving into all of it we get into taking biology from discovery to design, sequence-first vs structure-first, and why he calls this the "gpt-1.5 era" of biology... enjoy!
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Profluent retweeted
can AI scale it? at ASGCT this month, we showed AI can ~10x the addressable coverage when designing base editors (the molecules behind the Verve/Lilly announcement), among other benefits. that translates to an unlock for patients by dramatically expanding addressable targets for therapeutic gene editing we don't want a world where this is a one off breakthrough. we want a repeatable engine.
Crémieux
@cremieuxrecueilMay 25
Eli Lilly has done it. They've gone and made what seems to be a powerful, permanent gene therapy for LDL cholesterol. That means they'll be able to effectively prevent most heart disease with a single infusion!
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we live in the future - the next step is designing large gene insertions and fine scale editing with AI 👀 @ProfluentBio “One dose of VERVE-102 (in vivo base editor) led to dose-dependent, substantial, and sustained reductions in PCSK9 and LDL cholesterol levels.”
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Profluent retweeted
cool to see 3 nature papers published in one day on AI for science. contrary to AI replacement doomerism, i firmly see the future being defined by the scientist. incredible time to build previous decades focused builder energy on social media or enterprise SaaS. this is insanely more exciting and impactful. drug discovery clearly is one of the largest impact areas. i hope it will extend beyond that as well
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First, yay Profluent - I really admire what they do and hope they succeed. Second - folks, that's a C2H2 ZFP there. Pavletich and Pabo Science 1991. ❤️ Pardon me while I go all warm and fuzzy here.
Today we’re announcing $106M in new funding led by Altimeter Capital and Bezos Expeditions. This brings our total to $150M to scale our frontier AI models which make biology programmable. Our frontier models have generated functional proteins (Nature Biotech, 2023), created the first CRISPR system designed from scratch (Nature, 2025), and showed clear scaling behavior (NeurIPS spotlight, 2025). The opportunities ahead are unimaginable. If you’re excited by shaping the future of biology – join us in pushing the science forward. Forbes: forbes.com/sites/amyfeldman/… Press Release: businesswire.com/news/home/2… -- Nature Biotech, 2023: nature.com/articles/s41587-0… NeurIPS spotlight, 2025: biorxiv.org/content/10.1101/… Nature, 2025: nature.com/articles/s41586-0…
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