PhD Student
The University of British Columbia
Victoria Wu is a doctoral candidate in Electrical and Computer Engineering at the University of British Columbia (UBC), with a foundational background in computer science from Queen's University. Her research is focused on advancing the field of medical imaging through the development of multimodal and explainable deep learning approaches, particularly in the context of echocardiography and heart disease diagnosis. This work aims to enhance the interpretability and reliability of AI-driven diagnostic tools, providing clinicians with robust, transparent systems that can be effectively integrated into clinical practice.
Prior to their doctoral studies, Victoria gained substantial industry experience as a software engineer at Microsoft. In this role, she was involved in the development and deployment of large-scale software solutions, which significantly contributed to her expertise in algorithmic design and system optimization. This industry experience informs her current research, allowing for a pragmatic approach to solving complex problems in the healthcare domain.
Disclosure(s): No financial relationships to disclose
344 - IMPROVING AORTIC STENOSIS CLASSIFICATION IN ECHOCARDIOGRAPHY: A MULTI-MODAL APPROACH
Saturday, October 26, 2024
2:55 PM – 3:00 PM PT