Hyunsoon Cho is a Mathematical Statistician in the Data Modeling Branch (DMB) of the Surveillance Research Program (SRP) within the Division of Cancer Control and Population Sciences (DCCPS) at the National Cancer Institute (NCI). Dr. Cho's research focuses on quantification of cancer burden and health disparities, and statistical methods and models for population-based cancer surveillance research. Her research interests include survival models, Bayesian methods, international and global health, and comparative effective research.

Dr. Cho received her Doctor of Philosophy degree in Biostatistics in 2009 from the University of North Carolina at Chapel Hill, after completing her dissertation on Bayesian influence diagnostic methods. During graduate school, she spent time working at the University of North Carolina Biometric Consulting Laboratory, where she participated in multidisciplinary collaborations.

At SRP, Dr. Cho develops statistical methods for quantifying cancer burden (e.g., survival, prevalence) and estimating cancer survival trends; develops statistical methods for estimating non-cancer mortality for cancer patients, investigates the health status of the population; and develops new statistical software while also improving current statistical software such as SEER*Stat, which is used for the calculation of cancer survival measures. She also serves as an organizer for an SRP journal club on statistical issues and methods.