Connor Bevington is a physics graduate student having obtained a BSc. (Hon) in Physics and Astronomy from the University of Waterloo. Hobbies and interests outside of research include triathlon, aircraft piloting, golf, cooking, reading, and musical production.
Connor is currently developing novel 4D de-noising algorithms for reconstruction and post-processing of PET images. This work will aid in improving quantitative accuracy of dynamic PET imaging and the derived time activity curves to better map out physiological processes in the brain, ultimately progressing towards a better understanding of neurodegenerative diseases and mental disorders.