Our lab focuses on applying machine learning and artificial intelligence to systematically characterize key genotypes, molecular phenotypes, and clinical phenotypes within the tumor microenvironment. Through a systems biology approach, we aim to uncover the relationships among these factors to advance precision oncology. Here are our main research directions:
We are looking to recruit postdoctoral fellow, Ph.D. student, and Master’s student from bioinformatics, computational biology, and mathematics, as well as several interns. If you are interested, please send your resume to binduan@sjtu.edu.cn.
Our research integrates genomic, molecular, and clinical data to infer the relationships between these different layers of tumor biology. We focus on identifying tumor biomarkers, understanding tumor evolution, and performing prognostic analysis, all of which are essential for early diagnosis, targeted therapy, and individualized patient prognosis.
We aim to explore the immune and microbiome microenvironments of tumors, investigating their composition and function, as well as their impact on tumor development. By integrating multi-omics data, we seek to reveal how the tumor microenvironment influences cancer progression.
This includes the systematic analysis and prediction of important molecular features, such as tumor hallmarks, cell types, cell states, and spatial domains, which serve as the basic functional units to characterize tumor cells.