evo-devo@Xiaojie_Qiu
We are thrilled to share our preprint (tinyurl.com/3mtbtcwu) on PantheonOS, the first evolvable, privacy-preserving multi-agent operating system for automatic genomics discovery.
📄 Preprint: tinyurl.com/3mtbtcwu
🤖 Open-source App (free to all users): app.pantheonos.stanford.edu
🌐 More: pantheonos.stanford.edu
PantheonOS unites LLM-powered agents, reinforcement learning, and agentic code evolution to push beyond routine analysis — evolving state-of-the-art algorithms to super-human performance.
🧬 Evolved batch correction (Harmony, Scanorama, BBKNN) and Reinforcement learning or RL agumented algorithms
🧠 RL–augmented gene panel design
🧭 Intelligent routing across 22+ virtual cell foundation models
🧫 Autonomous discovery from newly generated 3D early mouse embryo data
🫀 Integrated human fetal heart multi-omics with 3D whole-heart spatial data
From uncovering asymmetric Cer1–Nodal inhibition in early mouse embryos to mapping spatial disease programs in the human heart, PantheonOS demonstrates a future where AI agents don’t just analyze biology — they drive discovery.
This is a step toward self-evolving AI systems that accelerate science itself and push human civilization toward the singularity.
This work is built over 2 years by an incredible team (Weize @Nanguage who led this project, and also to Erwin, Zhongquan @BAKEZQ, Chris @chriswzou , Zehua @starlitnightly, Yifan @YifanLu2024 , Xuehai, Zhongquan, and Miao, Cinlong's wetlab support and the entire Qiu lab. We are grateful for all our funders and industrial collaborators: @Lenovo @vizgen_inc
We are excited to scale this work further and welcome philanthropic, industrial, and venture support. We invite the community (pantheonos.stanford.edu/ecosystem) to contribute, extend, and collectively reimagine the future of automated biological discovery.
🌐 More details below:
