Dr. Paige Williams
Title and Affiliation
Senior Lecturer, Departments of Biostatistics and Epidemiology
Harvard T.H Chan School of Public Health
Contact: paige@sdac.harvard.edu
PHACS Role
Co-Principal Investigator, PHACS
Director, Data Resources Core
Co-Director, Scientific Administrative Core
Co-Chair, Cardiopulmonary Working Group
Co-Chair, Sleep Task Force
Dr. Paige Williams has been a faculty member at Harvard T.H. Chan School of Public Health (HSPH) for over 25 years, and holds joint appointments in both the Biostatistics and Epidemiology Departments. She is also the Director of Graduate Studies for the Department of Biostatistics. She has been a statistical leader in design and analysis of randomized clinical trials and observational studies for HIV/AIDS, with applications to both children and adults, since 1991. She has served as the Statistical Director for the Pediatric HIV/AIDS Cohort Study (PHACS) at HSPH, and is also the elected Vice-Chair of the PHACS network’s Scientific Leadership Group. Her current research centers on HIV-related observational studies and environmental epidemiology studies, with a common focus on reproductive outcomes and child development. A major focus of her HIV-related research is the safety evaluation of reproductive health outcomes in infants exposed in utero to antiretroviral agents, such as congenital anomalies and preterm birth, in addition to longer term outcomes such as cardiotoxicity, neurodevelopment and behavioral functioning. Her research in reproductive epidemiology also addresses the effects of environmental, nutritional, and other prenatal exposures, with particular interest in prenatal exposures to endocrine disrupting chemicals (EDCs), such as phthalates, dioxins, pesticides, and heavy metals such as lead. She is on the Steering and Data Management Committee of the International AIDS Society’s (IAS) Collaborative Initiative for Pediatric HIV Education and Research (CIPHER), and has also participated in multiple international investigations. Her statistical interests are broad and include mediation analysis, survival outcomes, clustered data, and statistical methods for evaluation of mixtures; she has taught biostatistics to graduate students for over 20 years. She has over 340 peer-reviewed publications and is the author of multiple book chapters.