Summary
David Molony is the Director of Research at the Georgia Center for Cardiovascular Biomechanics & Data Modeling, leading a multidisciplinary team of engineers and clinicians to develop machine learning, medical imaging, and biomechanics solutions for clinical care. With a PhD in Biomedical Engineering and over a decade of experience across academia and health systems, he combines deep technical skills in computer vision, NLP, graph neural networks, and knowledge graphs with practical experience deploying deep learning models for IVUS imaging and clinical NLP applications. He has held research roles at Emory and Georgia Tech, mentoring junior scientists and translating complex numerical and statistical models into production-ready tools. Comfortable across Spark-based big data pipelines and advanced model architectures, he’s equally at home designing experiments as he is driving clinical impact through software deployment. An early adopter of combining graph-based methods with imaging and text, he brings a rare blend of biomechanical intuition and data-science engineering to cardiovascular research.
8 years of coding experience
4 years of employment as a software developer
PhD, Biomedical Engineering, PhD, Biomedical Engineering at University of Limerick