My research focus is on machine learning and artificial intelligence (AI) based methods in conjunction with multi-modal imaging data for developing personalized clinical decision support tools. My research involves leveraging multi-modal health care data including imaging, pathology, genomics and demographics to improve disease diagnosis and prognosis, specifically in the context of cancer. I have extensively worked on radiomics for cancer risk stratification, diagnosis and prognosis; radio-pathologic correlations between quantitative imaging and histopathology; multi-modal image co-registration; cancer nomograms integrating radiomics with clinical parameters and genomic assays. Specific areas of focus include urologic cancers including prostate and renal cell carcinoma.
Post-doctoral Fellowship - Nanyan Technological University, Singapore 10/2014
Post-doctoral Fellowship - Case Western Reserve University, Cleveland, OH 08/2019
Ph.D. - National University of Singapore, Singapore 05/2014
