He joined ASU in 2009 after six years with Siemens. Drawing upon computer vision, machine learning, visualization, mathematics, and statistics, his research focuses on imaging informatics, developing systems for computer-aided diagnosis, therapy and surgery, addressing a significant challenge facing biomedicine: image data explosion, a manifestation of big data in biomedical imaging, through a multidisciplinary team-based approach, involving informatics, computer science, mathematics, radiology, cardiology, gastroenterology, ontology, pathology, etc.