Dechang Chen


Department of Primary Appointment:
School of Medicine
Preventive Medicine and Biostatistics
Location: Uniformed Services University of the Health Sciences, Bethesda, MD
Research Interests:
Machine learning, applied statistics
Partial differential equations
Office Phone


Ph.D. in Mathematics, SUNY at Buffalo
M.S. in Statistics, SUNY at Buffalo
M.S. in Mathematics, Peking University
B.S. in Mathematics, Southeast University


Dr. Dechang Chen is currently Professor in the Department of Preventive Medicine and Biostatistics at USU. He teaches the core Biostatistics II course required for many graduate programs at USU. He also teaches An Introduction to Machine Learning. Dr. Chen conducts research in machine learning and its applications (in bioinformatics, medicine, and networks), applied statistics, and partial differential equations. He has been supported by grants from NSF and DoD.

Wang, H., Liu, Z., Yang, J., Sheng, L. and Chen, D., 2023. Using Machine Learning to Expand the Ann Arbor Staging System for Hodgkin and Non-Hodgkin Lymphoma. BioMedInformatics, 3(3), pp.514-525.

Wang, H., Chen, D., Pan, Q. and Hueman, M.T., 2022. Using weighted differences in hazards as effect sizes for survival data. Journal of Statistical Theory and Practice, 16(1).