Hening Cui is a Research Data Analyst at the Harvard T.H. Chan School of Public Health in the Department of Global Health and Population. Her work focuses on enhance individual-level decision-making regarding Latent Tuberculosis Infection (LTBI) screening and subsequent treatment in the United States. Hening holds a Master of Science degree in Biostatistics from Columbia University. Her research at Columbia focused on investigating gene expression patterns during cardiogenesis to facilitate treatment for congenital heart defects, employing innovative approaches such as the use of single RNA sequencing data in the Linear Mixed Model (LMM) and Cox Joint Model. Her academic interests lie in cost effective analysis and disease modeling. Beyond her academic pursuits, Hening enjoys cooking, reading mystery novels, and script-killing.
