Dr. Jing Li is the Virginia C. and Joseph C. Mello Chair and Professor in the H. Milton Stewart School of Industrial and Systems Engineering (ISyE) and a core faculty in the Machine Learning Center at Georgia Tech. She is the Associate Chair for Faculty Development and Research in ISyE. Prior to joining Georgia Tech, she was a Professor at Arizona State University and is a co-founder of the ASU-Mayo Clinic Center for Innovative Imaging. She received her Ph.D. in Industrial and Operations Engineering and M.A. in Statistics from University of Michigan, and her B.S. from Tsinghua University.
Dr. Li’s research focuses on the development of machine learning (ML) and artificial intelligence (AI) methods for modeling and inference of complex-structured datasets characterized by high dimensionality (e.g., 3D/4D imaging, large graphs), multimodality, and heterogeneity. Her methodological development emphasizes the principled integration of domain knowledge—including mechanistic and simulation models, physical laws and constraints, and qualitative or descriptive knowledge—into the design of ML/AI models to improve accuracy, generalizability, and interpretability. The objectives of the methodological development are to provide capacities for monitoring & change detection, diagnosis, and prediction & prognosis. Her main application areas are in biomedical and healthcare domains, supporting research that spans fundamental discovery to personalized and precision medicine. Her research outcomes support clinical decision making for diagnosis, prognosis, and telemedicine for various conditions affecting the brain such as cancer, post-traumatic headache & migraine, brain injury, and the Alzheimer’s disease. In addition, her methodological development extends to other domains such as manufacturing quality control and precision agriculture.