Dr. Arvind Rao

Biography

Arvind Rao is a Professor in the Department of Computational Medicine and Bioinformatics at the University of Michigan. His research centers around bioinformatics and the development of frameworks to identify tissue-specific enhancers through integrating multi-modal genomic data. He also has extensive experience from his postdoctoral fellowship at Carnegie Mellon University, where he specialized in data mining methodologies and image analysis. His work has contributed to understanding the relationships between image-derived phenotypic attributes and genotypic features in cancer patients, utilizing advanced imaging techniques such as high content microscopy and immunohistochemistry. His laboratory is focused on developing quantitative frameworks for analyzing image data to correlate genetic features with clinical outcomes, specifically related to gliomas. He participates actively in the TCGA Glioma projects, investigating transcriptional regulators and methodologies linking imaging with genetics and cognitive outcomes in glioblastoma patients. His recent research interests include high throughput measurement pipelines, heterogeneous data integration for clinical decision-making, and the integration of multimodal data for drug discovery. Rao’s contributions in the fields of Biomedical Imaging and Functional Molecular Imaging have been significant, enabling the development of predictive models relating genetic measurements to patient outcomes.

Research Interests