Education
Master of Science (M.Sc.) in Experimental Medicine (Thesis), McGill University (2022 - 2024)
Bachelor of Computer Engineering, Concordia University (2018-2022)
Work Experience
Cardiovascular Imaging Group
Graduate Research Assistant
Aug, 2022 - Aug, 2024
Development of computer-aided prediction of cardiac disease states using
clinical standard images, focusing on CMR image segmentation and
machine learning algorithms.
McGill University
Teacher Assistant
Aug, 2023 - May, 2024
- COMP-206 Intro to Software Systems
- COMP-603 Computer Science Seminar
Projects
Cardiac strain feature extraction and classification using segmentation and feature tracking.
Cardiac MR image sequence classification using 3D convolutional neural network.
Abstracts
Machine Learning for Automated Detection of Normal and Abnormal Strain in Oxygenation-Sensitive Cardiovascular Magnetic Resonance (OS-CMR) of Patients with Chronic Ischemic Cardiomyopathy. SCMR 2024, London, UK .
3D Convolutional Neural Network for Ischemic Cardiomyopathy Classification from Single Oxygenation-Sensitive Cardiovascular Magnetic Resonance (OS-CMR) Cine Slice. SCMR 2025, Washington, USA .
