Previously, he has studied and worked at University of Central Lancashire, University of Manchester and King's College London. Chen's main researches focus on motion analysis in radiology imaging and machine learning methods for medical image segmentation and disease biomarkers quantification. He developed techniques for automatic construction of statistical shape and motion models of bones in articulated joint from CT images, a novel method for respiratory motion correction in MRI, and an automatic nerve fibre quantification tool which enables early detection of peripheral neuropathy for diabetic patients.