I am a Research Fellow at Mayo Clinic.
I obtained my PhD in Mechanical Engineering from KU Leuven in Belgium. My background is in CT image processing and algorithm development using machine learning and deep learning techniques. My research focuses on developing AI-based software for CT image quality improvement, including generalizable models for artifact reduction and patient-specific model training and optimization. My work leverages AI to improve image quality for better clinical decision-making and automated analysis. My low-dose CT denoising and metal artifact reduction projects facilitate image visualization, precise probe placement, and accurate tumor delineation. My work is at the intersection of physics innovations and AI algorithms and aims to create technological advances that address unmet needs in the clinic.
I am currently enrolled in the Medical Physics Certificate Program and actively gearing up for the upcoming medical physics residency cycle beginning July 1, 2024.