Towards autonomous science
We build AI-ready scientific infrastructure and study agents that carry inquiry from hypothesis to evidence. Our work is meant for every field of science, and biomedicine is where we begin.
- AI-ready scientific infrastructure: connecting data, models, tools and knowledge so that agents can find, use and verify them
- Autonomous scientific discovery: agents that choose experiments, test predictions against evidence and revise their explanations
AI4S News · OmniScholar · OmniKnowledge · Euler
2026.10.10OmniKnowledge released2026.09.20OmniScholar released2026.09.18PathWeaver submitted to ICLR 20272026.09.16OmniFigure submitted to ICLR 20272026.09.15AI4S News released2026.09.01Founded πAI Lab
- Fuchu He, President, IAPM; Academician of the Chinese Academy of Sciences
- Zaoqu Liu, Founder; Biomedical Multimodal Large Model Scientist
- Ronghao Chen, AI Agent Systems Architect
- Yushuai Wu, Researcher
- Jingkuan Yang, Knowledge Discovery AI Engineer
- Zhihao Xu, Knowledge Discovery AI Engineer
- Mingyang Yan, AI Product & Full-Stack Engineer
- Qiuran Ren, AI Algorithms & Backend Engineer
- Wenjun Li, AI Platform Engineer
- Rongfeng Zheng, Knowledge Discovery AI Engineer
- Jingping Liu, Associate Professor, Sun Yat-sen University
- Qizhen Lan, Postdoctoral Researcher, UTHealth Houston
- Huacan Wang, AI Agent Algorithm Lead, Midea AI Research
- Yifan Zhou, Master's Student, Shanghai Jiao Tong University
- Tingyu Wu, Master's Student, Institute of Computing Technology, CAS
- Guangyu Cao, Master's Student, Institute of Automation, CAS
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