My research is interdisciplinary in nature and at the intersection between machine learning and medical imaging, with a vision towards improving medical imaging workflow via machine intelligence for significant impact in clinical use. Our current research mainly focuses on the development of effective and robust machine learning algorithms for medical image computing and analysis, such as MR image reconstruction, medical image segmentation, image registration and motion tracking. We are currently mainly working on clinical applications of medical image computing in neurology and cardiology.