PHD Researcher at The University of British Columbia
Canada
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Summary
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Victoria Wu is a Vanier Scholar and PhD researcher at the University of British Columbia specializing in multimodal deep learning for medical applications, with a focus on combining vision, NLP, and tabular data to build noise-robust diagnostic frameworks. She brings eight years of industry and research experience, including software engineering roles at Microsoft and an applied scientist internship at Amazon, giving her a practical track record of shipping production-quality code alongside academic publications. Her work has appeared at top venues like MICCAI and CVPR and includes first-authored papers under review, reflecting a strong bridge between cutting-edge research and clinical impact. Notably, she has improved medical image model performance through temporal multi-frame inputs and contributed to open-source tooling for ultrasound-guided interventions, demonstrating both engineering rigor and domain-focused creativity.
8 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Electrical and Computer Engineering, Doctor of Philosophy - PhD, Electrical and Computer Engineering at The University of British Columbia
Bachelor of Computing, Cognitive Science, Bachelor of Computing, Cognitive Science at Queen's University
This repo holds the code for: {Transformer-based Spatio-temporal Analysis for Automatic Classification of Aortic Stenosis Severity from B-mode Ultrasound Cine Series}.
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Victoria Wu - PHD Researcher at The University of British Columbia