Qiang Zhang is a machine learning scientist at the RDM Division of Cardiovascular Medicine and NDPH Big Data Institute at Oxford.
Dr Zhang is funded by a British Heart Foundation Intermediate Basic Science Research Fellowship. His research focuses on the integration of AI with cardiac healthcare, by applying machine learning approaches to cardiovascular imaging, cardiac disease and epidemiology at big data scale. His current projects include making cardiovascular MRI scanning faster and more informative by enhancing the imaging with generative AI-based “virtual contrast”, as well as enriching large clinical and population studies with novel AI imaging biomarkers and machine-learning techniques. He is a Fellow of the Society for Cardiovascular Magnetic Resonance and a recipient of SCMR early career award 2022.