The theme of my background is multidisciplinary complexity. I am current a Radiology resident at UBC and previously trained in Internal Medicine. Prior I completed my MD in Queen's University (2023), a MASc in Biomedical Engineering (2019) and BASc in Engineering Physics with a minor in Mathematics (2016) at UBC.
I have published 35+ manuscripts collaborating across 10+ specialties. My work focuses on building machine learning algorithms integrated with imaging physics, computer vision, robotics, 3D CAD design/printing, and applied mathematics in physiology. See my Scholar for more.
Designed and programmed kidney function prediction algorithms with ultrasound speckle physics and gradient-based classifiers (5 publications, 2 conference awards).
Designed and programmed physics-based machine learning to predict heart function and cardiac events using biochemical data and echocardiography (2 conference awards).
Designed and built feature generation algorithms, segmentation algorithms, and elastography devices for early characterization of abnormal placental tissue (9 publications, 1 conference award).
Lead instructor and co-founder for nation-wide workshop series for introductory artificial intelligence and programming concepts to Canadian medical students (4 publications).
