Colleagues working on the project
Prof. Kathleen Curran is the director of the University College Dublin Machine Learning in Medical Imaging and Diagnostics innovative research lab. She is an Affiliated Principal Investigator in the Centre for Biomedical Engineering and an INSIGHT funded investigator and is also a funded investigator in the Science Foundation Ireland centre for research training in machine learning (ML-Labs). Her group investigates emerging technical trends in AI, computer vision and medicine to develop interpretable clinical AI solutions. In partnership with Axial Medical Printing Ltd. she was awarded the 2019 InterTrade Ireland FUSION Project Exemplar Award and is the recipient of three Enterprise Ireland Commercialisation Fund awards as PI. She has been awarded Horizon Europe consortium funding to investigate Stratification, Management, and Guidance of Hypertrophic Cardiomyopathy Patients using Hybrid Digital Twin Solutions (SMASH-HCM).
Carles Garcia-Cabrera holds a Bachelor of Engineering (BEng) and Master of Engineering (MEng) in Telecommunication Engineering from Polytechnic University of Catalonia. He completed his Ph.D. in Electronic Engineering at Dublin City University, focusing on Generalizable Cardiac MRI analysis. Since 2024, he has conducted research at University College Dublin, specializing in multi-modal medical analysis using deep learning techniques, with a particular interest in foundational models for medical imaging.
Katie Noonan is a machine learning research engineer in the Medical Imaging and Diagnostics Innovative Research Lab, University College Dublin. She holds a Master’s in Biomedical Engineering, where her research focused on accelerating genetic screening of zebrafish using AI. Currently, Katie is involved in a commercially funded project developing a screening tool to identify and quantify rare lung diseases using CT scans.
Dr. Nicholas McCarthy is a senior engineer in the Machine Learning in Medical Imaging and Diagnostics Innovative Research Lab, UCD. He completed his PhD in Computer Science in University College Dublin, focusing on applications of machine learning and computer vision in computational pathology, during which he was awarded a FAST-PATH European Marie Curie Research Fellowship Grant. Since then he has worked as an interdisciplinary scientist and engineer in both industry and academia, leading and managing collaborative R&D teams in various domains including healthcare and medical imaging.