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
Student Paper Travel Award
Biometrics Section of the American Statistical Association
Section in Epidemiology of the American Statistical Association
New Researcher Best Abstract Award
International Society of Environmental Epidemiology
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
Deyssenroth MA, Gennings C, Liu SH, Peng S, Hao K, Lambertini L, Jackson BP, Karagas MR, Marsit CJ, Chen J. Intrauterine multi-metal exposure is associated with reduced fetal growth through modulation of the placental gene network. Environment International 2018; 120: 373-381.
Liu SH, Bobb JF, Claus Henn B, Gennings C, Schnaas L, Tellez-Rojo MM, Bellinger D, Arora M, Wright RO, Coull BA. Bayesian varying coefficient kernel machine regression to assess neurodevelopmental trajectories associated with exposure to complex mixtures. Statistics in Medicine 2018;.
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; 29: e2504.
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 2018; 19(3): 325–341.
Physicians and scientists on the faculty of the Icahn School of Medicine at Mount Sinai often interact with pharmaceutical, device and biotechnology companies to improve patient care, develop new therapies and achieve scientific breakthroughs. In order to promote an ethical and transparent environment for conducting research, providing clinical care and teaching, Mount Sinai requires that salaried faculty inform the School of their relationships with such companies.
Dr.Liu did not report having any of the following types of financial relationships with industry during 2017 and/or 2018: consulting, scientific advisory board, industry-sponsored lectures, service on Board of Directors, participation on industry-sponsored committees, equity ownership valued at greater than 5% of a publicly traded company or any value in a privately held company. Please note that this information may differ from information posted on corporate sites due to timing or classification differences.
Mount Sinai's faculty policies relating to faculty collaboration with industry are posted on our website. Patients may wish to ask their physician about the activities they perform for companies.
Physicians who provide services at hospitals and facilities in the Mount Sinai Health System might not participate in the same health plans as those Mount Sinai hospitals and facilities (even if the physicians are employed or contracted by those hospitals or facilities).
Information regarding insurance participation and billing by this physician may be found on this page, and can also be obtained by contacting this provider directly. Because physicians insurance participation can change, the insurance information on this page may not always be up-to-date. Please contact this physician directly to obtain the most up-to-date insurance information.
Insurance and health plan networks that the various Mount Sinai Health System hospitals and facilities participate in can be found on the Mount Sinai Health System website.