معرفی
Dr. Yue Cao is a post-doctoral researcher at the School of Mathematics and Statistics, University of Sydney, specializing in computational analysis of high-dimensional omics data with applications in precision medicine. Her work bridges bioinformatics, machine learning, and clinical research to advance single-cell multi-omics methodologies.
Education:
- PhD in Bioinformatics, University of Sydney
Dr. Cao's research focuses on developing computational frameworks for single-cell and spatial multi-omics data integration, simulation, and disease outcome prediction. She pioneers methods for handling high-dimensional biological datasets, with emphasis on reproducibility, benchmarking, and clinical translation in precision medicine. Her work addresses critical challenges in cell-type identification, data harmonization across samples/conditions, and phenotype prediction using multi-view learning approaches.
Analysis of her 15 most recent publications (2019-2025) reveals consistent focus on single-cell RNA sequencing analysis, with expanding applications to spatial transcriptomics and multi-omics integration. Key methodological contributions include scMerge2 for data integration, scFeatures for multi-view representations, and benchmarking studies for simulation methods and clustering algorithms across diverse biological contexts from COVID-19 outcomes to kidney transplantation.
Supervision:
- Cabiria LIANG: Multi-view learning of single cell and spatial data for phenotype prediction
