Johnny Yu
@iamjohnnyyu
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CSO and co-founder @tahoe_ai (formerly Vevo), UCSF PhD. Building the next big thing in single-cell drug discovery!
San Francisco, CA
Joined October 2018
1/.🧵 THREAD: Here’s how we solved a 30-year mystery about an HIV drug. 💊 A drug used for over two decades.⚠️ Pulled from the market for cardiac risk.🤯 And no one knew why — until now. We found the missing mechanism using our single-cell mosaic dataset, Tahoe-100M. Let’s talk.
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RT @nalidoust: We love it when others build dev tools for building on Tahoe-100M. Today, we highlight scDataset in our @tahoe_ai blog. Deve….
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RT @NIHDirector_Jay: Today, @NIH announced a new policy to cap how much publishers can charge NIH-supported scientists to make their work p….
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Completely agree. Pre-training on quality data for the first time allows for context generalization - > an important milestone in Virtual Cell. Not all data is created equal! 🖥️🧬.
The result I'm most excited about from Arc's new State model:. The ability to generalize on zero-shot out-of-distribution predictions after pre-training on the TAHOE-100M data set. Whereas PLMs have seemingly benefitted less from scaling data and model size, this is an inkling
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RT @nalidoust: I f*** love this. And to put even more momentum behind this awesome movement by our @arcinstitute friends:. 🥁@tahoe_ai will….
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For anyone interested in where virtual cell is going - this is a very timely and landmark piece of work. A few take aways:. - Data matters! 💾 High quality, unified datasets like Tahoe100M vastly improve model performance. - Embeddings are getting good enough for tasks 🔨 - with.
Today @arcinstitute releases State, our first perturbation prediction AI model and an important step towards our goal of a virtual cell. State is designed to learn how to shift cells between states (e.g. “diseased” to “healthy”) using drugs, cytokines, or genetic perturbations
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RT @DrAnneCarpenter: @BoWang87 @Xaira_Thera How is it going to be the first when Noetik has already announced?.And….
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This short video says it all - it's writing, running, and visualizing the full bioinformatics pipeline just like a computational biologist!.
So we teamed up with Kepler AI @keplogic to build TahoeDive:. A natural language interface that enables biologists to do analysis that requires a team of bioinformaticians: dig into Tahoe-100M — and any datasets derived from it — alongside key insights from the literature. 🔍
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Join the waitlist, it'll fill up quickly!. Full thread here for TahoeDive 👇.
Today, we @tahoe_ai are announcing TahoeDive, built in partnership with Kepler AI @keplogic + opening beta access!. TahoeDive is an AI agent for biologists to query & analyze our Tahoe-100M dataset using natural language, with added context from broader scientific literature. 🧵
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Excited to launch the waitlist for TahoeDive, our first AI agent built on Tahoe-100M - check it out, I expect this waitlist to fill up quickly.
We’re excited to invite a select group of biologists to try it and share feedback. Request beta access, read more, and see example demos here 👉 Let us know what you think 💬.
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RT @nalidoust: 🧵1/.We @tahoe_ai just published a new post on the Tahoe blog—a story of how we used Tahoe-100M, the world’s largest drug-pe….
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It was great to give a talk to the community about Tahoe-100M! Big thanks to our partners in science @ParseBio and @UltimaGenomics for making projects like Tahoe the new gold standard in single cell. More to come stay tuned 😉🎙️#tahoe100m #singlecell.
Thank you to everyone who joined our webinar this week as we took a closer look at the Tahoe-100M data set by the team at @tahoe_ai. (formerly Vevo) and in collaboration with Parse's GigaLab. Big thanks to our speaker, @iamjohnnyyu.Watch on-demand:
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RT @nalidoust: I am excited to announce the winners of our @tahoe_ai Tahoe Deep Dive hackathon with @huggingface. We created and released….
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This was most excellent. Amazing founders here today.
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RT @MKoutrouli: The @tahoe_ai hackathon just wrapped up! Such an inspiring environment with great energy, and genuinely fun people. Huge ku….
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Team Dawo for the win! Very impressive work 📊.
Excited to share that my team and I won 2nd at the @tahoe_ai Deep Dive Hackathon!!. We used Tahoe-100M to build a VAE workflow that can predict what drug caused a cell to go from its original state to its perturbed state. Thank you @nalidoust and the @tahoe_ai team!.
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On a personal level, it's special to see a dataset go from an idea -> an experiment -> a community like this. What a smart and curious group of people at the leading edge of the Virtual Cell! . This will definitely be a moment in time.
Shoot for the moon. Build openly. That's the spirit of @tahoe_ai #tahoedeepdive. 40 people from across the world, self-organized into teams to play with Tahoe-100M and build open models of how biology interacts with chemistry.
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RT @cyrilzakka: Hugging Face 🤝 Tahoe Therapeutics Hackathon now in full swing! Looking forward to some cool projects! .
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