David van Dijk (@david_van

David van Dijk

1,143 posts

David van Dijk

@david_van_dijk

Yale Professor | Founder & CEO @CellTypeInc (YC W26) | AI + Drug Discovery

celltype.com

Joined September 2009

Pinned
David van Dijk
@david_van_dijk
Apr 14
Join us in building a biological world model!
CellType
@celltypeinc
Apr 14
CellType is hiring founding engineers! Biology is one of the biggest unsolved frontiers for AI. Join us building foundation models and agentic systems for drug discovery. If you want to push the frontier of AI for science, we'd love to talk. celltype.com/careers
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David van Dijk
@david_van_dijk
Feb 28, 2025
🚀 Just released the official GitHub repo for our paper, "Intelligence at the Edge of Chaos"! We explore how complexity shapes intelligence in large language models trained on cellular automata. Paper: arxiv.org/abs/2410.02536 Repo: github.com/vandijklab/Int…
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David van Dijk
@david_van_dijk
Apr 17, 2025
What if LLMs could “read” & “write” biology? 🤔 Introducing C2S‑Scale—a @Yale + @GoogleAI @GoogleDeepMind collab: we scaled LLMs (up to 27 B!) to analyze & generate single‑cell insights by turning transcriptomes into text 🧬➡️📝 🔗 Blog: research.google/blog/teaching-… 🔗 Preprint:
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David van Dijk
@david_van_dijk
Sep 14, 2023
Introducing BrainLM 🧠🤖the first foundation model for #fMRI analysis trained on 6,700 hours of brain activity data! Fine-tune for specialized tasks or leverage zero-shot inference capabilities! @WuTsaiYale @YaleCompsci @YaleCBB @YaleMed biorxiv.org/content/10.110…
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David van Dijk
@david_van_dijk
Oct 10, 2024
How does complexity shape intelligence? 🤔 In our new paper Intelligence at the Edge of Chaos, we explore the relationship between complex systems and the emergence of intelligence in AI models. Can complexity alone unlock smarter systems? 🌌🧠 #AI #complexity
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David van Dijk
@david_van_dijk
Sep 15, 2023
Single Cells as text? We developed Cell2Sentence, a method that allows training of Large Language Models on single-cell data! biorxiv.org/content/10.110… With @danielflevine @SyedARizvi5688 @sachalevy3 @rahuldhodapkar @YaleSEAS @YaleMed #AI #ML #NLP #genomics #CompBio #singlecell
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David van Dijk
@david_van_dijk
Oct 15, 2025
Exciting to see our collaboration with @Google highlighted here — using AI to generate and test new biological hypotheses!
Sundar Pichai
@sundarpichai
Oct 15, 2025
An exciting milestone for AI in science: Our C2S-Scale 27B foundation model, built with @Yale and based on Gemma, generated a novel hypothesis about cancer cellular behavior, which scientists experimentally validated in living cells. With more preclinical and clinical tests,
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David van Dijk
@david_van_dijk
Sep 3, 2024
🚀 Beyond excited to announce our release of the #Cell2Sentence (C2S) API and new foundation models! 🎉 Our C2S API makes it incredibly easy to convert #singlecell data into cell sentences, perform inference with LLM-based C2S models, fine-tune them, and convert cell sentences
38K
David van Dijk
@david_van_dijk
Nov 2, 2023
Thrilled to announce that CINEMA-OT is now published at Nature Methods! nature.com/articles/s4159…
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David van Dijk
@david_van_dijk
Sep 3, 2019
I’m excited to announce that I am starting my faculty position and lab at Yale today @Yale @YaleMed @YaleCVRC ! Check out my lab website at vandijklab.org. If you’re excited about machine learning and want to make an impact in biology and medicine, join us!
David van Dijk
@david_van_dijk
Feb 16, 2024
Major Cell2Sentence update 🎉🔬! We’ve been thrilled to see the attention Cell2Sentence has received from the single-cell community. Now, we’re excited to release our first update of Cell2Sentence (C2S) - a framework to leverage LLMs to train foundational single-cell models,
GIF
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David van Dijk
@david_van_dijk
Aug 2, 2022
We are excited to present our latest project: CINEMA-OT – a causal inference framework for single-cell perturbation analysis! W/ @Mingze7316 @rahuldhodapkar @ishizukalab @EllenFoxman biorxiv.org/content/10.110…
David van Dijk
@david_van_dijk
Oct 8, 2019
Our latest deep learning tool for large-scale single-cell analysis!
Eric Topol
@EricTopol
Oct 7, 2019
How do you analyze 11 million single cells from 180 samples, 40 patients (and address different sample preps and batch effects)? Like this: nature.com/articles/s4159… @naturemethods #deeplearning #AI by @KrishnaswamyLab @YaleMedicine @Yale great work ★!
David van Dijk
@david_van_dijk
May 8, 2020
I am excited to share our latest work on single-cell analysis of SARS-CoV-2 infection! biorxiv.org/content/10.110… Amazing collaboration with @WilenLab @EllenFoxman, and by incredibly talented first authors @neal_ravindra @MiaAlfajaro @VictorGasque #SARSCoV2 #SingleCell