My research focus is development of accurate quantitative risk-stratification and therapy selection by incorporation of advanced spatial/non-spatial informatics models, typically using imaging data, into patient care. My work has focused specifically on normal tissue injury from radiation therapy in head and neck cancer, leveraging “Big Data” statistical approaches to improve not only tumor control, but also increasd side effect reduction in the multi-institutional setting. After pre-doctoral and medical student research experiences, I gained expertise in human imaging physics during a combined PhD-residency training program, followed by a fellowship i focused on imaging informatics. As both a board-certified Radiation Oncologist and Clinical Informaticist with formal imaging physics training, I have focused on modeling and imaging patient-specific toxicity, and I am a lead investigator for the MD Anderson Head and Neck Cancer Symptom Working Group, in addition to co-leading MD Anderson's "Fellow and Resident Radiation Oncology iNtensive Training in Imaging and Informatics to Empower Research" (FRONTI2ER) educational program.