Sha Cao, Ph.D.

With a background in statistics and systems biology, my research leverages advanced statistical learning and systems biology techniques to tackle critical questions in cancer biology. Over the years, I have developed innovative computational methods to model multi-omics data, particularly single-cell and spatial transcriptomics, to investigate transcriptional, metabolic, and biochemical variations in complex tissue microenvironments. Overall, my work aims to unravel disease-specific variations by integrating multi-omics data, characterizing intra-tumor heterogeneity, and identifying key mediators of cell-cell interactions within cancer tissues.