A statistician with interdisciplinary backgrounds in survey research, biostatistics and epidemiology, Lingxiao Wang applies statistical methods to public health and population science topics. One of her major research interests is generalizing results from epidemiologic studies to the general U.S. population by integrating data from national health surveys and disease registries.

Wang's Ph.D. dissertation won the Ann G. Wylie Dissertation Fellowship awarded by the University of Maryland, as well as the American Statistical Association’s Edward C. Bryant Scholarship for an Outstanding Graduate Student in Survey Statistics. Her postdoctoral work received the National Cancer Institute’s Fellows Awards for Research Excellence. She has published 10 papers in well-recognized journals of statistics, survey research and epidemiology.

Wang earned her Ph.D. degree (2020) in survey methodology (with a focus on statistics) from the University of Maryland, College Park. Before joining UVA, she served as a research fellow at the National Cancer Institute/National Institutes of Health.

During her first year at UVA, Wang will continue her ongoing research of building nationally representative lung cancer risk models and pursue more collaborative work with her new University colleagues. This fall, she also will be teaching courses on linear regression models.