Da Xu

Da Xu is an Assistant Professor of Management Information Systems at the School of Business Administration, University of Mississippi. He previously served as an Assistant Professor at California State University, Long Beach. His academic journey includes a Ph.D. in Business Administration from the University of Utah (2020), an M.S. in Management Science from University of Science and Technology of China (2014), and a B.S. in Management Information Systems from Zhejiang University of Finance & Economics (2011).

• Ph.D. Business Administration - University of Utah (2020)
• M.S. Management Science - University of Science and Technology of China (2014)
• B.S. Management Information Systems - Zhejiang University of Finance & Economics (2011)

His research focuses on predictive analytics and deep learning applications in health informatics, with particular emphasis on online digital platforms and data mining for business intelligence. His work addresses critical challenges in patient management, disease progression prediction, and data quality improvement across healthcare and business domains.

Recent publications demonstrate expertise in chronic disease modeling, including hepatitis B deterioration paths, hip fracture outcomes, and cardiovascular patient records. He employs advanced techniques like attention-based deep learning, graph neural networks, and hierarchical multilabel classification to solve complex healthcare analytics problems.

He actively contributes to academic discourse through presentations at premier conferences including Conference on Information Systems and Technology (CIST), Workshop on Information Technologies and Systems (WITS), and INFORMS Workshop on Data Science. His research appears in top journals such as Journal of Management Information Systems and IEEE Journal of Biomedical and Health Informatics.