Dr Ying Wang is a core research fellow at Centre for Health Informatics, Australia Institute of Health Innovation. She obtained her PhD in pattern recognition and artificial intelligence. Ying is passionate about developing and explaining advanced machine learning and deep learning algorithms to support decision making at clinical and diagnostic levels in health care.
She currently leads a project to identify clinical safety events by type and risk levels and offer interpretations of AI decisions to patient safety experts. Meanwhile, she is responsible for the development of a platform to monitor safety problems with medical AI devices. With over a decade of experience in machine learning and health data, her interests also grow with the need of AI safety in clinical practice, with particular emphasis on evaluating model transportability in real world and explainable AI in health.