I received my BSc from Saint Mary’s University in 2015, where I was fortunate to work with experimental particle physics groups at the Thomas Jefferson National Accelerator Facility in the USA and the Johannes Gutenberg University Mainz in Germany. Seeking more immediate applications, I transitioned to medical physics and completed an MSc at Dalhousie University in 2017. My research at that time focused on determining if quantitative measures of image quality could be used as a predictor of the recovery accuracy of model parameters in quantitative dynamic contrast-enhanced magnetic resonance imaging using compressed sensing. In 2021, I completed a PhD at Carleton University, focusing on the applications of Compton gamma imaging to radiological security. Specifically, I developed tomographic spatial unfolding methods to estimate the distribution and quantity of radioactive materials over large areas using a limited number of viewpoints.
Biography
Area of Focus
Stereotactic radiosurgery (SRS)
Craniospinal irradiation (CSI)
Quality assurance
Surface guided radiotherapy
Environmental radioactivity
Radiological security
Summary of Research
My research focuses on the clinical application and optimization of Surface-Guided Radiation Therapy (SGRT) for high-precision treatment setup and real-time motion monitoring. I specialize in validating SGRT workflows for complex anatomical sites, with particular expertise in Cranial Stereotactic Radiosurgery (SRS) and Craniospinal Irradiation (CSI). By investigating the intersection of surface guidance and intra-fraction motion management, I aim to enhance treatment accuracy and patient safety in advanced radiotherapy delivery.
Beyond SGRT, I explore the integration of Artificial Intelligence (AI) within the radiation oncology pipeline. This work includes the validation and implementation of deep learning models for MR-to-CT synthesis, aimed at streamlining MR-only planning workflows and improving dose calculation accuracy. My broader research interests involve evaluating the radiobiological effects and clinical outcomes of SRS and CSI to further refine evidence-based treatment protocols.
Area Of Focus
Stereotactic radiosurgery (SRS)
Craniospinal irradiation (CSI)
Quality assurance
Surface guided radiotherapy
Environmental radioactivity
Radiological security
Summary Of Research
My research focuses on the clinical application and optimization of Surface-Guided Radiation Therapy (SGRT) for high-precision treatment setup and real-time motion monitoring. I specialize in validating SGRT workflows for complex anatomical sites, with particular expertise in Cranial Stereotactic Radiosurgery (SRS) and Craniospinal Irradiation (CSI). By investigating the intersection of surface guidance and intra-fraction motion management, I aim to enhance treatment accuracy and patient safety in advanced radiotherapy delivery.
Beyond SGRT, I explore the integration of Artificial Intelligence (AI) within the radiation oncology pipeline. This work includes the validation and implementation of deep learning models for MR-to-CT synthesis, aimed at streamlining MR-only planning workflows and improving dose calculation accuracy. My broader research interests involve evaluating the radiobiological effects and clinical outcomes of SRS and CSI to further refine evidence-based treatment protocols.