معرفی
Dr. Qing Zhong is an Associate Professor at the University of Sydney's Faculty of Medicine and Health, affiliated with the Children's Medical Research Institute (CMRI). He holds a PhD in Biochemistry and Computer Science from ETH Zurich. His research focuses on developing computational tools and machine learning frameworks for cancer data science, including proteogenomic data mining, multi-omic integration, and big data-driven precision medicine. Key areas include cancer recurrence prediction, CAR T-cell therapy optimization, and FFPE tissue analysis.
Dr. Zhong has led grants such as the 2021 NHMRC Ideas Grant for paediatric cancer proteomics and a 2018 Cancer Council NSW grant for proteomics infrastructure. His work spans over 50 peer-reviewed publications in journals like Nature, Cancer Cell, and Nature Communications, with a focus on prostate, neuroblastoma, and paediatric cancers. Collaborations include ProCan, a large-scale cancer proteomics initiative.
Notable achievements include developing pipelines like PIONEER for DIA-MS data and CRANE for peptide analysis. His research bridges computational biology, clinical oncology, and translational medicine, aiming to improve diagnostic accuracy and therapeutic strategies.
