Keelin Murphy is an Assistant Professor and biomedical image analysis researcher with nine years of experience applying machine and deep learning to clinical imaging, currently focused on chest X‑ray at Radboudumc. She holds an MSc and PhD from the Image Sciences Institute (UMC Utrecht) and has a strong track record in neonatal MRI and EEG analysis, including published methods for lesion segmentation in hypoxic ischemic encephalopathy. Her work bridges methodological research in domain adaptation and limited-data deep learning with clinically oriented projects, reflecting both academic rigor and translational impact. Earlier experience leading a software development team for mobile payments adds practical engineering and team leadership skills to her research profile.
9 years of coding experience
12 years of employment as a software developer
Bachelor's Degree, Mathematics, Bachelor's Degree, Mathematics at Trinity College, Dublin
Doctor of Philosophy - PhD, Medical Image Analysis, Doctor of Philosophy - PhD, Medical Image Analysis at Image Sciences Institute, UMC Utrecht
Contributions:55 commits, 1 PR, 45 pushes in 2 months
deep-learningpytorch
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