Paul holds an MEng in Electronics and Computer Engineering from Dublin City University with a major in image processing and analysis. His thesis was centred on deep learning for biomedical image analysis.
His career has been shaped by a strong interest in the convergence of technology and healthcare. He is working the Mater Misericordiae University Hospital as the AI research fellow, where his responsibilities revolve around advancing AI solutions for emergency medical imaging and the validation of clinical AI solutions. In this role, he is dedicated to developing AI solutions for emergency medical imaging, particularly in the context of CT to MRI image translation for Lumbar spine cases, including those involving Cauda Equina Syndrome, collaborating closely with clinical specialists, like radiologists, radiographers and medical physicists.
Paul is currently pursuing a PhD titled ‘Radiologist in the Loop: Generative AI Cross-Modality Image Translation.’ This research aims to empower healthcare professionals during critical out-of-hour scenarios by employing generative AI techniques for cross-modality image translation. This is a meaningful way to contribute to improving patient care through the application of technology in healthcare, and Paul is excited to explore new horizons in this field.