Caroline Chung, MD, MSc., FRCPC, CIP
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Principal Investigator
Associate Professor, Radiation Oncology & Diagnostic Imaging
Director of Imaging Technology and Innovation, Radiation Oncology
cchung3@mdanderson.org

Caroline Chung, MD, MSc., FRCPC, CIP an Associate Professor and Director of Imaging Technology and Innovation for the Division of Radiation Oncology at The University of Texas MD Anderson Cancer Center with cross-appointment to Diagnostic Imaging at MD Anderson. In this role, she is helping standardize quantitative imaging approaches to help guide radiation and multimodality cancer treatment, build infrastructure to improve clinical workflow efficiency and quality within Radiation Oncology and establish strategic partnerships and alliances with industry and academic partners to facilitate innovation.

Prior to her transition to MD Anderson, she was an Assistant Professor at the University of Toronto and clinician-scientist in Radiation Oncology at The University Health Network-Princess Margaret Canada Centre in Toronto, Canada. While in Toronto, Caroline was the clinical lead for the Techna Institute Quantitative Imaging for Personalized Cancer Medicine program, which facilitates centralized image analysis of advanced MRI, CT and PET imaging from international clinical trials. She also served as the clinical and research lead for the Brain metastasis clinic and established the Robert and Andrée Fitzhenry Brain Metastasis Program. She was a key clinical member involved in the development and early clinical testing of a recently commercialized image-guided radiosurgery device and she remains an active member internationally in the radiosurgery community.

Her research focuses on the discovery of clinically impactful quantitative imaging biomarkers through the development of novel tools to help standard image acquisition (including the development of novel immobilization devices and imaging approaches), image processing and analysis, including the development of AI-based models.

Andrew Elliot, PhD.
Computational Scientist
andrew.elliott@mdanderson.org

Dr. Elliot’s research focuses on developing methodologies and algorithms for medical image analysis. He is testing different machine learning opportunities for the imaging core lab within the ROSI Advanced Imaging Initiative.

Holly Langshaw
Research Assistant I
helangshaw@mdanderson.org

Holly operates and scripts Raystation and engages in administrative work for the lab.

Benjamin Tran
Research Medical Student
bltran@mdanderson.org

Mr. Tran’s project is focused on improving the detection of radiation necrosis development in melanoma patients with brain metastasis through the identification of predictive clinical variables and radiomic feature analysis.

Maguy Farhat

Postdoctoral Fellow

mfarhat@mdanderson.org

Dr. Farhat is interested in improving the predictability of prognosis and treatment response of central nervous system tumors at the time of diagnosis using Multiparametric and Diffusion Tensor MRI. Her research interest also includes obtaining automated tumor segmentation and probability maps to enhance therapeutic response while minimizing radiation-induced injury on surrounding normal brain tissue.