Relentlessly optimistic. Excited for biology to fix the world.

Joined June 2012
192 Photos and videos
Anne Marie Droste retweeted
“This means the real opportunity is not in picking the best model but instead in building a learning loop on top of models where human capital and token capital compound.”
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Anne Marie Droste retweeted
NEW YORK FOREVER WE DID THIS TOGETHER THE CITY'S ALIVE KNICKS IN FIVE
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Anne Marie Droste retweeted
one slight issue I often have with techbio is the way people use some very specific model benchmark as validation that their tool is somehow “better”. i think in general we need a better push for more top down biologically informed benchmarks that truly ask “will this make my drug better at what it needs to do” especially in cancer vaccines
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Yess @dalvabaird team - congrats!
Human biology matters. Scientists and AI need human data to understand health and disease. Crownlands is open sourcing Gateway 4M, the largest single-cell tissue dataset ever released from living humans, to advance research on brain aging and neurodegeneration.
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Anne Marie Droste retweeted
AI labs wanting to solve biology and learning how our data is organized
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This, but for science 👩‍🍳
A lot of people are already deploying AI into production codebases, but until now we didn’t really have a good eval for whether it writes code that is actually high-quality and maintainable. Pretty cool grading here:
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To quote the gospel of @KR_Skelly: if it wasn't built for AI, then you probably can't use it for AI
Great write-up! What many in the space seem to over look is that there already exist data sets with *millions* of real-world human outcomes and increasing density of molecular readouts, ex @ourfuturehealth Never understood the reflex / imperative of collecting a niche low N dataset of similar depth when large population cohorts exist
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Anne Marie Droste retweeted
New Science Blog: Why has AI advanced faster in coding than in biology? To agents, bio databases are like cities built before cars—maddening to drive in because they're designed for different traffic. How do we build infrastructure agents can use? anthropic.com/research/agent…
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Announcing that I have a job this week, which will mark the first time in 3 years(!) that I am not at a stealth company. Hello world etc, excited to be back, what have I missed
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To all 6 people who liked this: thank you! Early adopters and/or real OGs! As for what I did: made my first drug (jesus fuck), had a kid (would recommend), did some thinking about AI in bio (soon to be revealed), moved to SF (inevitable) - not in that order.
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Hot take: most of this value is going to the frontier AI labs
I believe this next wave of Bio is going to be bigger than anyone can imagine. Multiple $10T companies. Maybe even a 100 Trillion dollar company.
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Surprisingly fun/helpful offsite activity: work tarot. 🔮 Ask Claude to make you a custom deck based on what it knows about your team & co, write on a set of blank cards, predict the future.
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Anne Marie Droste retweeted
Your CEO should be strong. Your CTO should be wise. Your COO should be wicked, cunning, of mysterious origins, fluent in the dark arts, blurry in pictures,
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Anne Marie Droste retweeted
Jun 3
We’re bringing new capabilities to GPT-Rosalind, a model series purpose-built for life sciences research at enterprise scale. It brings GPT-5.5’s agentic coding and tool use together with stronger intelligence for drug discovery, analysis, design, and experimental workflows. openai.com/index/introducing…
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Anne Marie Droste retweeted
Apr 16
Introducing GPT-Rosalind, our frontier reasoning model built to support research across biology, drug discovery, and translational medicine.
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The Rosie story is AI doing the *information* work. Humans still ran the lab. Now imagine when agents close that loop. (Also the biotech pile-on is very predictable and quite boring. Good for Rosie, and the optimists are on the right side of history.)
this is actually insane > be tech guy in australia > adopt cancer riddled rescue dog, months to live > not_going_to_give_you_up.mp4 > pay $3,000 to sequence her tumor DNA > feed it to ChatGPT and AlphaFold > zero background in biology > identify mutated proteins, match them to drug targets > design a custom mRNA cancer vaccine from scratch > genomics professor is “gobsmacked” that some puppy lover did this on his own > need ethics approval to administer it > red tape takes longer than designing the vaccine > 3 months, finally approved > drive 10 hours to get rosie her first injection > tumor halves > coat gets glossy again > dog is alive and happy > professor: “if we can do this for a dog, why aren’t we rolling this out to humans?” one man with a chatbot, and $3,000 just outperformed the entire pharmaceutical discovery pipeline. we are going to cure so many diseases. I dont think people realize how good things are going to get
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Learned from the very very best. Huge congrats to @Alicebentinck and @matthewclifford the excellent EF team. Only the beginning!
Today, we're announcing @join_EF's Series D: $200M of fresh capital, at a unicorn valuation. We're in a golden age of entrepreneurship. More individuals than ever before are taking the leap, with the world's most transformative technology at their fingertips. For over a decade, we've backed extraordinary people without asking what idea they're working on. We call this Talent Investing; believing in someone from Day 1 and giving them the peer group, environment, and capital to find their life's work. And it works! Companies built through EF are now worth $16bn, up from $3bn at our last raise in 2021. Thank you to our investors for their continued belief, the EF team for bringing this vision to life, and the founders who rejected the status quo to build globally important companies with us. And, of course, a huge thank you to @matthewclifford, my exceptional cofounder.
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Anne Marie Droste retweeted
Robust benchmarks are the foundation on which progress in AI is built. Benchmarks for science, in particular, are extremely hard to build, but good ones are important to move the field forward. This is a great piece from Science today, which charts progress in building new benchmarks for science: science.org/content/article/…
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Anne Marie Droste retweeted
💥 Today we’re introducing Prism—a free, AI-native workspace for scientists to write and collaborate on research, powered by GPT-5.2. Accelerating science requires progress on two fronts: 1. Frontier AI models that use scientific tools and can tackle the hardest problems 2. Integrating that AI into the products scientists use every day Prism is free to anyone with a ChatGPT account, with unlimited projects and collaborators. Try it today at prism.openai.com—would love to hear your feedback.
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