Sindhu Ghanta is a research fellow at Beth Israel Deaconess Medical Center and Harvard Medical School. She received her Ph.D in Electrical and Computer Engineering at Northeastern University, and a MS degree in Electrical and Computer Engineering from Texas Tech University.
Her research interests are applying machine learning and computer vision algorithms to analyze a wide range of natural and medical images such as traffic surveillance, pavement surfaces, 3D reflectance confocal microscopy of skin, 2D fluorescence microscopy of U2OS osteosarcoma and 3T3 fibroblast cell and histopathological tissues. In particular, she is interested in Bayesian non-parametric models. Her current work focusses on developing novel probabilistic models for identification, detection and classification of features from histopathological (breast cancer) images.