In progress
PhD in Computing
School of Computing · Queen's University
Current focus: medical vision-language models, long-tailed learning, and interpretable AI.
About
About me
A researcher working at the intersection of medical imaging, multimodal machine learning, and trustworthy evaluation.
I am a PhD candidate in the School of Computing at Queen's University and a researcher in the Big Data Analytics and Management Lab. My current work focuses on medical vision-language models, particularly interpretability, long-tailed learning, and evaluation in radiology.
My earlier work spans biometrics, cybersecurity, reinforcement learning, NLP, clinical data analysis, information retrieval, and visualization. These experiences shaped my interest in AI systems that need to work reliably outside ideal benchmark conditions.
Education
Queen's University
Conferred
MSc in Cybersecurity
School of Computing · Queen's University
Thesis: Passive Liveness Detection using Depth and rPPG for Face Presentation Attack Detection.
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