Aozhou Wu


Los Angeles


Ph.D. and M.H.S., epidemiology, M.H.S, biostatistics, M.S.E, computer science, Johns Hopkins University; M.B., laboratory medicine, B.S., statistics, Peking University

Summary of Experience

Dr. Wu is an epidemiologist specializing in study design, statistical methods, and pharmacoepidemiology, with expertise in health economics and outcomes research (HEOR) across diverse disease areas such as cardiovascular diseases, oncology, neurology, nephrology, neuropathy-related diseases, and infectious diseases. Dr. Wu’s research encompasses a wide range of areas, including understanding the natural history and epidemiology of diseases, as well as evaluating the comparative effectiveness, safety profiles, and cost profiles of treatments. He is adept at applying advanced statistical methods, such as causal inference, statistical modeling, missing data imputation, and machine learning methods, to address analytical challenges in health care. His case work involves indirect treatment comparisons (e.g., network meta-analyses and matching-adjusted indirect comparisons), real-world database analyses, comparative effectiveness research using clinical trial data, surrogate outcome analyses, and health economic evaluation (e.g., cost-per-outcome and cost-effectiveness analyses). Dr. Wu’s research has been published in peer-reviewed journals, including JAMA, JAMA Internal Medicine, JAMA Neurology, the American Journal of Kidney Diseases, and Neurology, and his research findings have been presented at international conferences. He has also served as a peer reviewer for multiple journals.

Selected Publishing