Shelley H Liu, PhD Email Shelley Liu
- ASSISTANT PROFESSOR | Population Health Science and Policy
Shelley H. Liu is an Assistant Professor in the Center for Biostatistics, Department of Population Health Science and Policy. Dr. Liu’s primary research interests are in longitudinal data analysis, Bayesian analysis, latent class analysis, environmental epidemiology and children’s health. Dr. Liu received her BA from Northwestern University in 2011, and her PhD in Biostatistics from Harvard University in 2016. During her doctoral training, she developed statistical methods for environmental health research. These projects included developing methods for estimating the health effects associated with exposure mixtures, and identifying critical time windows of vulnerability to exposures. For her dissertation research, she received a Distinguished Student Paper Award from the International Biometric Society - Eastern North America Region. She also received two National Science Foundation EAPSI awards to conduct research in Australia and China. Through these awards, she developed computationally efficient methods to analyze large longitudinal cohort data.
Biostatistics, Environmental Health, Epidemiology, Pediatrics, Psychiatry, Public Health
BA, Northwestern University
PhD, Harvard University
Distinguished Student Paper Award
Eastern North America Region of the International Biometric Society
New Researcher Best Abstract Award
International Society of Environmental Epidemiology
Student Paper Travel Award
Biometrics Section of the American Statistical Association
Section in Epidemiology of the American Statistical Association
East Asia and Pacific Summer Institutes – China Fellowship
National Science Foundation
East Asia and Pacific Summer Institutes – Australia Fellowship
National Science Foundation
Rose Traveling Fellowship in Chronic Disease Epidemiology and Biostatistics
Harvard School of Public Health
Liu SH, Bobb JF, Claus Henn B, Schnaas L, Tellez-Rojo MM, Gennings C, Arora M, Wright RO, Coull BA, Wand MP. Modeling the health effects of time-varying complex environmental mixtures: Mean field variational Bayes for lagged kernel machine regression. Environmetrics 2018;.
Liu SH, Li Y, Liu B. Exploratory cluster analysis to identify patterns of chronic kidney disease in the 500 Cities Project. Preventing Chronic Disease 2018;.
Li Y, Liu SH, Li N, Liu B. Unhealthy behaviors, prevention measures, and neighborhood cardiovascular health: A machine learning approach. Journal of Public Health Management & Practice 2018;.
Liu SH, Bobb JF, Lee KH, Gennings C, Claus Henn B, Bellinger D, Austin C, Schnaas L, Tellez-Rojo MM, Wright RO, Arora M, Coull BA. Lagged kernel machine regression for identifying time windows of susceptibility to exposures of complex mixtures. Biostatistics 2017;.
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