Youwei Liang

This paper introduces VCHarness, an AI system that automatically builds perturbation-response models for virtual cells, outperforming manual methods and reducing development time.

AIDO.Builder automates biomedical model development by generating executable pipelines, selecting strategies, and iteratively refining models without manual intervention.

MetaboliteChat is a multimodal LLM that integrates molecular graphs and images with natural language to provide interactive metabolite analysis and functional insights.

RobPicker improves macromolecule identification in cryo-ET by addressing label noise and class imbalance through a meta-learning framework, outperforming existing methods in detecting small and rare species.

DrugChat, a multi-modal LLM, predicts drug mechanisms and properties through free-form text, outperforming GPT-4 and specialized models in accuracy and versatility.