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Reposted by James Zou

Cell Press @cellpress.bsky.social · 6d

#AI wrote nearly a quarter of corporate press releases in 2024 and the number is likely to keep rising. spkl.io/63324ATfBo

Weixin Liang, @jameszou.bsky.social & colleagues
@cp-patterns.bsky.social

First page of article: "The widespread adoption of large language model-assisted writing across society" published in Patterns

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Reposted by James Zou

Jonathan H Chen MD PhD @jonc101.bsky.social · 15d

@stanforddeptmed.bsky.social Biomedical Informatics Research Colloquia

“AI Agents to Automate Biomedical Discoveries”
@jameszou.bsky.social James Zou, Ph.D

Thursday, September 25th, 2025
12:00 to 1:00 pm PST

stanford.zoom.us/j/9788759601...

Webinar ID: 978 8759 6012
Webinar Passcode: 420642

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Reposted by James Zou

Andy Tseng @andytseng.bsky.social · 27d

Fantastic talk by @stanford.edu's @jameszou.bsky.social for the first Innovation Initiative Distinguished Lecture at @whiteheadinstitute.bsky.social. A fascinating look at how to use #AI to build intelligent research teams that can tackle open-ended scientific problems. #WhiteheadInstitute #MIT

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James Zou @jameszou.bsky.social · Aug 12

🧠Can AI agents predict #Alzheimers? Participate in our DREAM challenge agentic track to find out!

We provide unique training + test data for AI agents: snRNA-seq, IHC, stage, etc synapse.org/Synapse:syn6...

Also co-submit your agent paper to agents4science.stanford.edu

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Reposted by James Zou

Stanford HAI @stanfordhai.bsky.social · Aug 11

“Good science happens when we have deep, interdisciplinary collaborations, and often that’s one of the main bottlenecks and challenging parts of research,” said HAI Faculty Affiliate @jameszou.bsky.social who led a study on AI-driven virtual labs: med.stanford.edu/news/all-new...

Researchers create ‘virtual scientists’ to solve complex biological problems

Stanford Medicine researchers created a team of virtual scientists backed by artificial intelligence to help solve problems in their real-world lab.

med.stanford.edu

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James Zou @jameszou.bsky.social · Jul 31

Nice @stanforduniversity.bsky.social article profiling our #VirtualLab of AI scientists news.stanford.edu/stories/2025...

Researchers create ‘virtual scientists’ to solve complex biological problems

An AI lab developed by Stanford Medicine researchers has already shown promising results, generating ideas for a more effective COVID-19 vaccine in just a few days.

news.stanford.edu

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Reposted by James Zou

NEJM AI @ai.nejm.org · Jul 30

Case Study by Eric Wu, PhD, Kevin Wu, PhD, and James Zou, PhD: Limitations of Learning New and Updated Medical Knowledge with Commercial Fine-Tuning Large Language Models nejm.ai/4nTx1Np

@jameszou.bsky.social #AI #MedSky

Figure 1. An Overview of the Fine-Tuning Case Study.

Figure 2. Performance of Fine-Tuned Large Language Models on Each Medical Dataset.

Figure 3. Model Performance on MedQA after Updating.

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James Zou @jameszou.bsky.social · Jul 29

The Virtual Lab is open source and can be applied to many problems! github.com/zou-group/vi...

👏Great job @kylewswanson.bsky.social John Pak, Wes Wu, Nash Bulaong @czbiohub.bsky.social

GitHub - zou-group/virtual-lab: A virtual lab of LLM agents for science research

A virtual lab of LLM agents for science research. Contribute to zou-group/virtual-lab development by creating an account on GitHub.

github.com

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James Zou @jameszou.bsky.social · Jul 29

⚡️Thrilled that #VirtualLab is published in @nature.com! www.nature.com/articles/s41...

We created a team of AI agents to mirror my Stanford lab 🤖. Led by a PI agent, the AI scientists ran their own group meetings and discovered effective binders to new CoVID variants that we validated.

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Reposted by James Zou

Eric Topol @erictopol.bsky.social · Jul 29

Who do you call when you need to design novel, potent nanobodies vs a pathogen?
The virtual lab of A.I. agents @nature.com @jameszou.bsky.social @kylewswanson.bsky.social
www.nature.com/articles/s41...

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Reposted by James Zou

Damir Baranasic @da-bar.bsky.social · Jul 22

Day 3 of #ISMBECCB2025 started with an excellent talk from @jameszou.bsky.social which presented how AI can form virtual labs to discuss problems, how can AI reanalyse research data to get new biological results, and how we can interpret complex AI predictions 💻🤖

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Reposted by James Zou

NEJM AI @ai.nejm.org · Jul 23

Six frontier large language models evaluated on incorporating newly updated medical knowledge through commercial fine-tuning application programming interfaces struggled to generalize updated information, despite modest gains. Learn more: nejm.ai/4nTx1Np

@jameszou.bsky.social

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James Zou @jameszou.bsky.social · Jul 15

🏆Thrilled that #CollabLLM won the #ICML2025 Outstanding Paper Award!

We propose a new approach to optimize human-AI collaboration, which is critical for agents. Congratulations to my fantastic co-authors; great job Shirley Wu and Michel Galley driving the project! 👏

Paper: arxiv.org/pdf/2502.00640

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James Zou @jameszou.bsky.social · Jul 7

What is it like for scientists to work with AI co-scientists?

Excellent @nature.com feature discussing researchers' experience interacting with our #VirtualLab and other tools www.nature.com/articles/d41...

AI ‘scientists’ joined these research teams: here’s what happened

Emerging ‘co-scientist’ systems use chatbots to mimic the deliberations of a research group. Nature asked researchers to test them out.

www.nature.com

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Reposted by James Zou

Hanlin Zhang @hlzhang109.bsky.social · Jul 2

Introducing EvoLM, a model suite with 100+ decoder-only LMs (1B/4B) trained from scratch, across four training stages —

🟦 Pre-training
🟩 Continued Pre-Training (CPT)
🟨 Supervised Fine-Tuning (SFT)
🟥 Reinforcement Learning (RL)

EvoLM: In Search of Lost Language Model Training Dynamics

Modern language model (LM) training has been divided into multiple stages, making it difficult for downstream developers to evaluate the impact of design choices made at each stage. We present EvoLM, ...

arxiv.org

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James Zou @jameszou.bsky.social · Jun 5

Great job by Sam Alber, Bowen Chen, Alina Isakova, Aaron Wilk!

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James Zou @jameszou.bsky.social · Jun 5

High throughput data are goldmines that we often only scratch the surface. Great for AI to systematically analyze! CellVoyager makes Jupyter notebooks for easy replication
📜https://www.biorxiv.org/content/10.1101/2025.06.03.657517v1
💻https://github.com/zou-group/CellVoyager

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James Zou @jameszou.bsky.social · Jun 5

💡IMO one of the best use of AI Scientist is to reanalyze data to find new insights.

Introducing #CellVoyager: AI Compbio Agent that makes new discoveries by autonomously analyzing papers/data, which we then validate🚀

New findings on aging, Covid, scRNAseq etc. Open source!

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Reposted by James Zou

Sten Linnarsson @sten.linnarsson.org · May 28

Very cool work from James Zou. Link to paper: www.nature.com/articles/s41...

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James Zou @jameszou.bsky.social · Apr 22

Excited that nuclei.io is featured on the cover of Nature BME! AI-clinician collaboration paper rdcu.be/dLgV1

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James Zou @jameszou.bsky.social · Apr 10

We discuss how to conduct intersectional analysis in science and technology in @nature.com
nature.com/articles/s41...

I learned a ton from working w/ dream team co-authors! Great job by Londa Schiebinger + Mathias Nielson leading this project 👏 Also thanks @meharpist.bsky.social for guidance!

Intersectional analysis for science and technology - Nature

This Perspective offers a guide for researchers, peer-reviewed journals and funding agencies to make quantitative intersectional approaches a standard part of science and technology research design, w...

nature.com

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James Zou @jameszou.bsky.social · Apr 2

Here's the non-paywall version of our #TextGrad paper rdcu.be/efRp4! 📜

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Reposted by James Zou

Steven Artandi @stevenartandi.bsky.social · Mar 21

SCI member @jameszou.bsky.social & others present a method for genAI self-improvement via a new calculus of text. They show TextGrad’s power in optimizing agents, molecules, code, treatments, & more, solving PhD-level problems and enabling impactful #AI development. www.nature.com/articles/s41...

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Reposted by James Zou

Stanford HAI @stanfordhai.bsky.social · Mar 21

Scholars developed a versatile framework called TextGrad to improve complex AI systems by leveraging natural language feedback. @jameszou.bsky.social

Read more about this research supported by @stanfordhai.bsky.social in a new paper published in Nature: www.nature.com/articles/s41...

Optimizing generative AI by backpropagating language model feedback - Nature

Generative artificial intelligence (AI) systems can be optimized using TextGrad, a framework that performs optimization by backpropagating large-language-model-generated feedback; TextGrad enable...

www.nature.com

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James Zou @jameszou.bsky.social · Mar 21

I had a lot of fun discussing #textgrad on the @nature.com podcast with @climateadam.bsky.social! It starts at around 12 minutes here www.nature.com/articles/d41...

Tiny satellite sets new record for secure quantum communication

Hear the biggest stories from the world of science | 19 March 2025

www.nature.com

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