Finding cures for children's genetic diseases

About Us

Qing Zhong Group Leader, ProCan Cancer Data Science

Dr Qing Zhong (Dipl., MSc, Dr. sc. ETHZ) is Group Leader for Cancer Data Science at CMRI and a conjoint Senior Lecturer at the University of Sydney. He completed his undergraduate study in computer science and a PhD in biochemistry and computer science at ETH (Swiss Federal Institute of Technology) in Zurich, Switzerland.
He was awarded the ProMedica Stiftung for his post-doctoral training at University of Zurich, and was then appointed as a senior data scientist at University Hospital Zurich (USZ). Prior to joining CMRI, Dr Zhong was responsible for the analysis of biomedical data at the USZ and implemented a clinical big data system for consolidating genomic, clinical and demographic information into a unified model for precision and data-driven medicine. His research interests include big cancer data analysis, machine learning, and computational biology.
Major focuses of the Cancer Data Science Group are: big proteogenomic data mining and management; the genome-proteome association analysis and multi-omic data integration for studying cancer; development of advanced statistical tools to account for batch effects caused by large-scale, high throughput proteomics, and implementation of big data-driven, evidence-based computational tools to achieve predictive, preventive, personalised medicine.