Doctoral Student

Liping Li is a doctoral student at Emory University. Her research focuses on combining machine learning with quantitative imaging to predict tumor response, enhance diagnostics, and improve treatment planning in renal cell carcinoma, pediatric hepatoblastoma, and sarcopenia, contributing to innovative solutions in medical imaging and computer vision. She is currently working on predicting tumor shrinkage and therapy response using radiomics features from MRI and CT imaging; identifying relapse risk and classifying tumor subtypes in pediatric hepatoblastoma using machine learning models; and exploring the association between skeletal muscle composition and clinical outcomes in sarcopenia.
Before joining the lab as a PhD student, she worked as a research scientist at Emory University and Georgia Tech, where she contributed to advanced imaging research. Her projects included leveraging machine learning and radiomics to classify tumor subtypes, predict therapy responses, and explore associations between body composition features and clinical outcomes. She also worked as a senior engineer at the Hong Kong Applied Science and Technology Research Institute, leading advanced image processing and computer vision projects for multimillion-dollar initiatives. Her contributions include designing intelligent robotic vision systems and implementing deep learning models for safety monitoring and industrial defect detection.
Liping holds a masters degree in multimedia information technology from City University of Hong Kong and a bachelor’s degree in computer science and technology.