معرفی
Chong Jin is an Assistant Professor in the Department of Mathematical Sciences at the New Jersey Institute of Technology (NJIT). His research focuses on computational biology, genomics, and bioinformatics with a strong emphasis on cancer research and molecular mechanisms of disease. He has contributed to studies on tumor biology, gene expression analysis, and the development of computational tools for RNA sequencing and multi-omics data integration.
Dr. Jin's work spans topics such as DNA cyclizability modeling, single-cell RNA-sequencing analysis, and the application of machine learning to identify rare cell populations. His recent publications include advancements in sub-cluster identification algorithms (SCISSORS) and Mendelian randomization frameworks for multi-omics data. He has collaborated on projects related to pancreatic cancer, epidermal malignancy, and immune cell abundance estimation in tumors.
His articles reflect a blend of computational methodology and biological application, addressing challenges in data integration, tumor heterogeneity, and therapeutic target identification. While no specific awards are listed, his research has garnered attention in journals like Nucleic Acids Research, Bioinformatics, and Nature Computational Science.
Media mentions include coverage related to appointments at Maybank, though these may pertain to unrelated professional activities. His work contributes to both fundamental biological understanding and translational applications in precision oncology.
