معرفی
Arvind Rao, Ph.D., is a Professor in the Department of Computational Medicine and Bioinformatics at the University of Michigan. His research focuses on developing integrative frameworks to analyze multi-modal data (e.g., genomic, imaging) for cancer prognosis and treatment selection. He specializes in spatial transcriptomics, tumor microenvironment analysis, and computational methods for biomedical imaging.
Dr. Rao’s work bridges disciplines such as computational biology, oncology, and bioinformatics. He has pioneered methods to correlate image-derived phenotypic attributes (from microscopy, radiology, etc.) with genotypic features like gene expression and mutations. His research aims to uncover spatial heterogeneity in tumors and design algorithms for precision medicine.
Key contributions include frameworks like Proximogram and DIMPLE, which integrate single-cell and spatial omics data. Recent work emphasizes immune cell interactions in cancer progression and the role of microenvironmental factors like fibroblasts and microglia.
His publications highlight advancements in spatial transcriptomics, radiogenomics, and machine learning for diagnostic applications. Collaborations span institutions like Carnegie Mellon University and MD Anderson Cancer Center.
