Biography

As a medical physicist, I enjoy solving problems at the intersection of disciplines. During my MPhil with the Cambridge computational radiotherapy group, I used deformable image registration to investigate discrepancies between planned and delivered dose to the spinal cord for head-and-neck cancer patients, and correlated delivered dose with Lhermitte’s Sign toxicity. My PhD project will focus on adaptive radiotherapy, which entails adapting cancer treatment plans to patients’ changing anatomies over the course of treatment. I will be developing and evaluating machine learning and deep learning methods to predict and minimise errors between registered CT images. I am also interested in the use of generative models to enhance the quality of cone-beam CT scans, such that they can be used directly for plan adaptation. This research will hopefully enable and enhance adaptive radiotherapy workflows in the clinic, and contribute towards personalised and precision medicine. Having worked in the education and public policy sectors in Singapore, I am also passionate about democratising STEM education and improving access to career guidance for youths. Outside of work, I can be found exploring far-flung corners of the world with my camera.