Ruofan Jin

BioClaw enables human-bot collaboration in group chats to execute biomedical analyses using containerized tools and workflows across multiple domains and data types.

NEOM improves neoantigen selection by integrating multiple strategies to enhance peptide binding affinity and immunogenic potential.

LabOS is an AI co-scientist that integrates computational reasoning with physical experimentation through multimodal perception and human-AI collaboration, enhancing scientific discovery in biomedical and materials science.

BioLab uses a multi-agent system with foundation models to autonomously design and validate antibodies, achieving superior performance compared to existing methods.

STELLA is a self-evolving AI agent that improves through interaction, achieving high performance in biomedical tasks and driving experimental discoveries in oncology and protein engineering.

EpiMII improves MHC-II epitope and neoantigen design by integrating structural features with graph neural networks, achieving higher accuracy and in vivo efficacy in tumor models.

RNAGenesis is a foundation model for RNA therapeutics that integrates sequence, structure, and function prediction, achieving state-of-the-art performance on multiple tasks and enabling functional RNA design.

MultiTAP improves tumor antigen immunogenicity prediction by integrating sequence and structure features with an attention mechanism, outperforming existing models across diverse HLA phenotypes.

This paper introduces FoldMark, a watermarking method for protein generative models that ensures biosecurity by enabling user tracing and maintaining structural quality.