Donglin Zeng, PhD
- Professor, Biostatistics
- PhD, Statistics, University of Michigan, 2001
- MS, Mathematics, University of Science and Technology, 1995
- BS, Mathematics, University of Science and Technology, 1993
One of my on-going projects is to learn optimal treatment rules or policies using multiple data sources. Another project is to use high-dimensional and multi-domain disease markers collected from EHRs or digital phenotype data from sensors for disease diagnostics, prediction and treatment decisions.
Areas of Expertise: Aging, Biostatistics, Brain Disorders, Cancer, Chronic Disease, Clinical Trials, COVID-19, Diabetes, Environmental Health, Genetics, Global Public Health, Health Care, Health Equity, Health Informatics, Mental Health, Modeling, Nutrition, Precision Health, Substance Use, Vaccines, Women’s Health