My research spans medical image segmentation, reconstruction and synthesis, quantitative imaging, and vision-language systems for radiology. I am particularly interested in methods that connect rigorous technical development with clinically meaningful evaluation.
At the National Library of Medicine, I work on artificial intelligence for craniofacial imaging and investigate multimodal large language models for diagnostic reasoning, summarisation and structured reporting. I previously worked at the NIH Clinical Center on automated analysis of CT and MRI, and I continue as an Honorary Research Associate at Imperial College London.
I received my PhD in Machine Learning and Biomedical Image Analysis from Imperial College London. My doctoral research explored machine learning methods for medical image reconstruction and synthesis.
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