Yulei He, MS, PhD, is an assistant professor of health care policy, with a specialty in biostatistics, in the Department of Health Care Policy at Harvard Medical School. Dr. He’s research focuses on the development and application of statistical methods for health services and policy research. His methodological research interests include surveys, missing data, measurement error, hierarchical modeling, latent variable modeling, robust estimation, and applied Bayesian methodology. His health services research includes cancer care, adolescent mental health epidemiology, and occupational health.

Dr. He is a member of the Statistical Coordinating Center of CanCORS (Cancer Care Outcomes Research and Surveillance), a multisite study sponsored by the National Cancer Institute to study the quality and patterns of cancer care and their subsequent impact on patient outcome. He is developing multiple imputation and weighting methods to account for nonresponses in CanCORS data analysis. He is also developing methods to integrate data from various sources, including surveys, medical records reviews, registries, and claims data, to adjust reporting errors in any of these sources.

Dr. He is currently involved in the development of an occupational-injury study, which aims to identify the impact of preexisting health conditions on the risk of subsequent workplace injuries, as well as the likely cost-effectiveness from the employer’s perspective of expanded treatment of these preexisting health problems in order to reduce the incidence of occupational injuries. Dr. He is also involved in missing-data analysis and validation of survey instruments for NCS-A (National Comorbidity Survey-Adolescent), a large study of mental health in adolescents.

Dr. He earned his BS degree in biology from the University of Science and Technology of China, his MS degree in public health (concentration in biostatistics) from the University of Illinois at Chicago, and his PhD degree in biostatistics from the University of Michigan.