My research interests cover areas of machine learning, medical image analysis, and clinical/genomic informatics. My PhD thesis is dedicated to designing and implementing approaches that can obtain quantitative insights from medical images and genomic sequences to help distinguish various subtypes of cancers in adult and pediatric gliomas.

The primary focus of my research has been to identify computerized image-based (also known as radiomic) phenotypes, and their associations with genomics (radiogenomics) and histo-pathology (radio-pathomics) for characterization of tumors.




The ultimate goal is to find features that are predictive of personalizing treatment and also have the prognostic capability to estimate the survival from baseline pre-treatment CT and MRI scans.




Check out my latest posters below!