Dr. Tzy-Jyun Yao
Title and Affiliation
Senior Research Scientist
Harvard T.H. Chan School of Public Health
Contact: tyao@sdac.harvard.edu
PHACS Role
Co-Chair, Oral Health Task Force
Co-Chair, Hearing and Language Task Force
After two decades of experience as a biostatistician in mostly cancer research, Dr. Yao, PhD joined the Center for Biostatistics in AIDS Research (CBAR) at the Harvard T.H. Chan School of Public Health in 2012, and changed her research focus to HIV. Dr. Yao serves as a senior statistician on the Pediatric HIV/AIDS Cohort Study (PHACS). Her recent research centers on the impact of HIV and antiretroviral treatment (ARV) on various domains of health in people living with or perinatally exposed to HIV/ARV and their families. Specifically, she is a co-chair of the Oral Health Task Force and of the Hearing and Language Task Force; she serves as the protocol statistician for the Health Outcomes around Pregnancy and Exposure to HIV/ARV (HOPE) study and for the TERBO Brain study, a longitudinal neuroimaging study on the association among brain networks, emotion regulation and risk behaviors. She was also the lead biostatistician in studies on other domains including co-infections, such as HPV, varicella and CMV, neurodevelopment and substance use. In addition to PHACS, Dr. Yao is the lead statistician for the Auditory Research in Children with HIV (ARCH): Cape Town study, which examines the entire hearing mechanism from the periphery to the auditory cortex in 11 to 12 year old children with or without HIV infection, or without HIV exposure in Cape Town, South Africa.
Dr. Yao received her B.S. degree in Zoology from National Taiwan University and her Ph.D. in Statistics from University of Wisconsin, Madison. Prior to joining CBAR, she worked on the designs and analyses of clinical studies in Memorial Sloan-Kettering Cancer Center in New York, National Health Research Institutes in Taipei and the Clinical Trials Center of University of Hong Kong. Her statistical interests include multi-level clustered data, longitudinal analyses, mixture models and clinical trials.