Speech Title: Artificial Intelligence in Clinical Practice: Transforming Radiology and Pathology Workflows
Biography: Arvind Rao is a Professor in the Department of Computational Medicine and
Bioinformatics at the University of Michigan. His group uses image analysis and machine learning
methods to link image-derived phenotypes with genetic data, across biological scale (i.e. single
cell, tissue and radiology data). Such methods have found application in radiogenomics, drug
repurposing based on phenotypic screens and spatial profiling in tissue, as well as in spatial
transcriptomics. Arvind received his PhD in Electrical Engineering and Bioinformatics from the
University of Michigan, specializing in transcriptional genomics, and was a Lane Postdoctoral
Fellow at Carnegie Mellon University, specializing in bioimage informatics.
