About

Greetings! I am Na Bo. I am a tenure-track Assistant Professor of Biostatistics at the Virginia Commonwealth University Department of Biostatistics. I earned my Ph.D. degree in Biostatistics at the University of Pittsburgh, advised by Dr. Ying Ding. Before joining the doctoral program, I worked as a biostatistician at the Indiana University Department of Biostatistics and Health Data Science. Before that, I earned my Bachelor's degree in Economics at Tianjin University of Finance and Economics and my Master's degree in Biostatistics at Emory University. 

My methodological expertise lies in the interface of precision/personalized medicine and health, causal inference, and subgroup identification and inference, especially in survival outcomes. My research mainly focuses on developing statistical methodologies and algorithms to estimate heterogeneous treatment effects and identify beneficial subgroups for individualized healthcare decision making using clinical trials and observational data (e.g., electronic health records (EHR)). My statistical methodologies have been applied to age-related macular degeneration studies (AREDS) and pediatric asthma EHR data. I am also interested in developing deep learning algorithms and methods for complex biomedical data. 

My current research involves: (1) Logic-respecting subgroup identification and inference; (2) Individualized treatment effect estimation for complex survival data; and (3) deep learning for survival outcomes.

I am an experienced collaborator, serving as a biostatistician on various projects including survey data, longitudinal and repeated measurements, survival analysis, EHR data, clinical trials, cohort studies, record linkage, causal inference, and early phase clinical trial design, etc. I  have worked with researchers in cancer, genomics, pediatrics, internal medicine, biomedical informatics, psychology, nursing, surgery and other disciplines to bridge statistical innovations into practice.