Department: Radiation Oncology

My research focus is on developing techniques to better predict the response of tumors to radiotherapy. Through a combination of experimental work (preclinical molecular imaging) and computational approaches (image processing and mathematical modeling), I aim to improve our ability to (a) infer biologically relevant information from imaging data, and b) reliably predict whether / how specific tumor regions are resistant to radiation therapy.

The goal of my project is to develop a Monte Carlo model of our small animal radiotherapy system based on a microCT scanner. My research consists of optimization of dose calculations with kilovoltage photon beams in submillimeter voxels using the BEAMnrc and the EGSnrc/DOSXYZnrc codes.

My research interests involve the early detection and characterization of cancer through the strategic integration of imaging tools including optics, MRI, x-ray, and nuclear medicine. I am also interested in improving minimally invasive therapies by incorporating sensing. My background encompasses medical device design and fabrication, and image reconstruction algorithms. The goal of this work is to provide significant, essential, and practical solutions to improve the treatment of disease.

The role of hypoxia in melanoma development, metastasis, and proliferation.

Tumor Hypoxia and Radioresistance

In-vivo assessment of radiation-induced tissue alterations and therapeutic response of cancer by MR spectroscopic imaging with hyperpolarized carbon-13 metabolites

My research interests focus on the development and application of functional imaging techniques for improving the therapeutic ratio of radiotherapy. I'm currently working with Dr. Paul Keall on the development and investigation of a novel functional imaging technique for pulmonary ventilation based on 4D-CT, and its application to lung cancer radiotherapy for adaptive functional avoidance.