معرفی
Professor Jean Yang is a leading academic in bioinformatics and computational biology at the University of Sydney's Faculty of Science. As a member of the Charles Perkins Centre and Sydney Precision Data Science Centre, her research focuses on integrating multi-omics data, single-cell genomics, and machine learning to advance precision medicine and healthcare decision-making. She has pioneered methodologies in kidney transplant outcome prediction, spatial transcriptomics analysis, and cancer genomics.
Her work spans computational tools like scMerge2 for single-cell data integration and scSTAR for identifying cell heterogeneity, alongside clinical applications such as predictive models for allograft survival. Yang has secured major grants including the Chan Zuckerberg Initiative funding for biomedical data analysis and NHMRC support for translational research. She collaborates across disciplines, linking statistical methods with clinical challenges in cardiovascular disease, oncology, and transplant medicine.
Yang’s lab develops open-source frameworks (e.g., scFeatures, SurvBenchmark) to democratize access to advanced analytical tools. Her recent projects include benchmarking spatial gene expression prediction and optimizing kidney allocation systems. She maintains affiliations with the Sydney-Melbourne Precision Health initiative and the Laboratory of Data Discovery for Health (InnoHK).
