Yuanhao Qu

Cloning CRISPR sgRNAs into plasmids requires tedious design work—optimizing target sites, designing oligos, and creating protocols normally takes hours. Paste your target gene + backbone → get sgRNAs, oligos, and cloning protocols in minutes. 🧬

🚀 Join CongLab @Stanford! We’re hiring postdocs to create lab-in-the-loop self-evolving AI agents, open benchmarks, to design, test & learn—advancing safer gene & cell therapies. Build on CRISPR-GPT, RNAGenesis model, Genome-Bench, for innovative medicines. #PostdocJobs

How can natural language interfaces democratize access to powerful AI protein design tools for scientists without computational expertise?@tamarindbio @ProjectBiomni "Tamarind Bio X Biomni: Towards an AI Protein Designer" • Molecular design using AI models like AlphaFold and…

💔 2nd&3rd deaths linked to Sarepta gene therapy—trial pause, stock drop. Must accelerate safer gene & cell cures. AI design & AI agents + real world validation can help contribute! 🚀 AI momentum: SynBioBeta’s “Towards an AI-Driven CRISPR Future” (synbiobeta.com/read/towards-a…) charts…

Partnering with Tamarind Bio @kavi_deniz @tamarindbio really levels up Biomni @ProjectBiomni with protein engineering capabilities. For biologists who aren't sure how to get started with computational tools - this enables all of us to access frontier protein models without any…

Just returned from ICML 2025 where I had the honor of keynoting three remarkable workshops. Grateful for the opportunity to delve into topics like self-evolving Alita agents, CRISPR-GPT for AI-driven science, Genome-Bench, reinforcement-learning agents, and AI biosafety. Special…

👋 Biomni v0.0.4 is now released! In one week of open-sourcing, we have seen amazing contributions from the community: - Multimodal LLM ChatNT @instadeepai as a tool to let Biomni talk with raw DNA/RNA/protein sequence - Added biomedical knowledge graph PrimeKG with millions of…

🧪Designing a CRISPR screen take days—finding gene targets, controls, and creating experimental protocols. Biomni curates target genes in minutes using advanced web search, literature mining, and pathway analysis. ⚡️ ✨Try it at biomni.stanford.edu

🚀 Excited to open-source our general-purpose biomedical AI agent Biomni. Biomni A1 (agent) + E1 (env) with 150 specialized tools, 59 databases, and 105 software! With just a few lines of code, you can now automate complex biomedical research with AI agent! E1 only scratches…

We just open sourced @ProjectBiomni! Checkout our github repo github.com/snap-stanford/… and we are very excited to build our E2 environment together with the community!

💊 90% of drugs fail trials—often from poor ADME/tox. AI models can accurately predict ADMET, but they aren’t widely accessible to scientists. Paste a SMILES into Biomni agent → get 17 endpoints via GNNs, RDKit & literature in minutes. 👉 biomni.stanford.edu

🤝Excited to announce @ProjectBiomni × @AnthropicAI! AI agents are set to transform how biologists do everyday research. Thanks to this partnership, the platform is now free for scientists worldwide: biomni.stanford.edu Learn more: anthropic.com/customers/biom…

Excited to share Biomni's @ProjectBiomni first blog post with Anthropic AI @AnthropicAI ! More use cases coming soon. Try it free at biomni.stanford.edu anthropic.com/customers/biom…

🧬Uncovering how a genetic variant leads to disease can take hours of deep reasoning—digging through RegulomeDB, ENCODE, ClinVar, PubMed, and more. Biomni automates these steps and delivers a structured report in minutes. Try it at biomni.stanford.edu

Watching Biomni help fellow researchers worldwide has been the most rewarding part of this journey. 2K+ organizations, 76 countries, millions of hours saved—but it's really about enabling the biomedical discoveries that will change lives. We're just getting started!

🧬 scRNA-seq annotation is fundamental, but it can take weeks! ⬇️ Biomni is an AI agent that gets it done in minutes by writing scanpy/umap code, searching literature/databases, and applying biological reasoning. Try it free on your scRNA dataset at biomni.stanford.edu ⚡

Very interesting to see RL+open source LLM > frontier lab LLM on specialized genomic reasoning task great demonstration of a recipe to build expert-level bio reasoning model! Congrats @YuanhaoQ and the team!

🤔 How do you get an LLM to reason like a CRISPR pro—or any top scientist? By training it on real expert conversations. 🛠️ What we built • An automated pipeline that distills learning signals from 10 + years of genomics discussions • Genome-Bench: 3,000 + curated Q&As on…

🤔 How do you train an AI model to think and reason like a biology expert? We found the answer: let it learn from real expert discussions! Checkout our recent work on a breakthrough approach to improve LLM scientific reasoning - by learning directly from 10+ years of genomics…

Check out our recent work on scientific reasoning using reinforcement learning!