Opportunities
We are excited to announce several open positions at the Duan Lab at Shanghai Jiao Tong University for passionate and dedicated researchers. Our lab integrates machine learning and artificial intelligence with systems biology to comprehensively characterize genotypes, molecular phenotypes, and clinical phenotypes within the tumor microenvironment. We aim to unravel the complex relationships among these factors to advance the field of precision oncology. Positions Available are PhD Students, Postdoctoral Researchers, and Research Assistants.
🔬 RESEARCH
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.
Inference of Genotype-Molecular Phenotype-Clinical Phenotype Associations
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.
Analysis of the Tumor Microenvironment
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.
Characterization and Prediction of Key Molecular Phenotypes
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.
🖥️ SOFTWARE
*
📃 PUBLICATION
Overall, comboSC provides a feasible and one-stop computational prototype and a proof-of-concept study to predict potential drug combinations for further experimental validation and clinical usage using the single-cell transcriptome, which will facilitate and accelerate personalized tumor treatment by reducing screening time from a large drug combination space and saving valuable treatment time for individual patients. A user-friendly web server of comboSC for both clinical and research users is available at www.combosc.top.
👥 TEAM
Principal Investigator
Bin Duan (段斌)
Associate Professor
Students
Hua Zou (邹华)
PhD Candidate (2025-)
Intern
Fan Li (李凡)
Remote Intern
Yuxuan Lu (陆宇轩)
Remote Intern
Sufan Wang (王甦璠)
Remote Intern
📨 CONTACT
- binduan@sjtu.edu.cn
- +65 83042333
- 800 Dongchuan Road Minhang District, Shanghai, Shanghai 200240
- Follow us on Github