Dr. Arvind Rao
The University of Texas MD Anderson Cancer Center
Department of Bioinformatics and Computational Biology
Our group is interested in the application and development of machine learning and image processing methods to:
- analyze image data across biological scale (across single cells, histopathology, and radiology images) and
- derive predictive models to relate imaging and genomic features with clinical outcome data across multiple cancer types.
Students training in our laboratory will be exposed to techniques in image processing and data mining (for radiology, single cell, cryo-EM) applications. We also build techniques to fuse imaging and genomics to generate novel hypotheses for clinical and basic research (such as gene function). Though our lab is mainly computational, we collaborate with other labs to design experiments to validate hypotheses.
Our group is interested in both M.S. and Ph.D. students who would like to pursue bioinformatics projects in image analysis as well as its integration with genomic data. Our image analysis projects go across scale, encompassing subcellular to organ scale data.
Projects/Techniques: machine learning, image processing (single cell, high content, histopathology and radiology), data mining, processing genomics (expression, copy number and methylation data) data.
- Systematically quantitate differences in cellular morphologies under various conditions. We are currently adapting these frameworks to single-cell and cryo-EM images.
- Combine gene expression with image information to find pathways altered in disease.
Office: MDA FCT4.6096 (Unit 1410)
Title: Assistant Professor
Ph.D. - University of Michigan - 2008