TJAI4S Lab focuses on frontier research at the intersection of artificial intelligence, biomedicine, and computational science, aiming to accelerate scientific discovery and real-world translation.
Tongji University; an interdisciplinary AI4Science research group advancing methodology and high-impact scholarship.
We develop interpretable and generalizable AI models for key challenges in life science and medicine, bridging fundamental research and translation.
We welcome academic collaboration, joint training, and industry partnerships to explore new AI-driven paradigms for scientific research.
AI methods for target-aware molecule design, activity prediction, and efficient virtual screening in early-stage drug discovery.
Research on multi-omics modeling, cross-modal learning, and biological mechanism inference for life science discovery.
Data-driven materials design and property prediction using machine learning for rapid discovery of functional materials.
Team Lead: Guang Chen
Core Members: Yanping Zhang, Sanqing Qu, Fan Lu, Xudong Zhang, Zhongzhan Li, Ziling Gan, Ruohui Tang, Yida Yang, Bochang Xiao, Yuehan Zhao.