Xinwu Ye’s research interests focus on applying advanced deep learning methodologies to tackle complex scientific challenges, particularly at the intersection of AI and biomedicine. He is actively engaged in leveraging graph machine learning to model intricate biological systems and relationships, such as molecular structures, which is essential for modern bioinformatics. Additionally, he explores the capabilities of large language models to analyse vast scientific literature, generate novel hypotheses, and accelerate the discovery process. His primary focus is on utilizing these cutting-edge AI techniques in drug discovery, with the aim of creating more efficient and effective pipelines for developing new therapeutics.