Author profile
Department of Statistics, University of British Columbia
To predict the occurrence of clinically significant radiation pneumonitis in lung cancer patients using Raman spectroscopy on pre-treatment plasma samples.
The overarching goal is to develop a novel system for microdosimetry integrated with cellular molecular radiation response using Monte Carlo (MC) simulations, Raman spectroscopy (RS), and radiobiological assays. MC simulations of the system and initial invest...
To develop a Gaussian process regression (GPR) framework that treats along-core HDR prostate brachytherapy dose as a spatially correlated signal, in order to denoise voxel-level dose and dose-uncertainty summaries used for Monte Carlo biopsy dose quality assu...
Radiation pneumonitis (RP) is a dose-limiting toxicity following thoracic radiotherapy. Existing RP prediction models have largely focused on clinical factors and conventional dose-volume histogram (DVH) metrics, with limited consideration of higher-order dos...
To perform cohort-level probabilistic quality assurance of biopsy dose thresholds in HDR prostate brachytherapy under a fixed localization-uncertainty model and relate robustness to nominal distance from threshold.
To develop a Raman spectroscopy (RS)-based experimental microdosimetry system capable of read-out of a model system of cells cultured on a radiochromic film (RCF) dosimeter substrate that can measure energy deposited by ionizing radiation within individual ce...
To quantify treatment-associated immune density changes in prostate cancer following HDR brachytherapy, and to determine whether Raman spectroscopic signatures of tissue biochemistry may serve as potential biomarkers of immune response.