Dr. Shin received her B.S. and M.S. in statistics from Seoul National University, and her Ph.D. in statistics from Texas A&M University. She joined the Biostatistics Branch (BB) as a postdoctoral fellow in 2017, was promoted to research fellow in 2019, and was appointed as a tenure-track investigator in 2020. Dr. Shin has received numerous awards for her work, including the DCEG Fellows Award for Research Excellence and the Fellowship Achievement Award, as well as the 2021 Early Career Development Award from the Korean International Statistical Society.
Dr. Shin’s research interests primarily focus on developing statistical methods for (1) analyzing the risk of cancer and other health outcomes associated with complex spatiotemporal exposures such as electronic health records, environmental exposures, molecular dynamics, and viral transmission, and (2) improving the estimation or validation of risk models in two-phase designs of epidemiological studies such as case-cohort and nested case-control designs. Her recent methodological research interests include survival data analysis, absolute risk model, weight calibration in survey sampling, autologistic network model, hidden Markov model, and functional principal component analysis. She actively collaborates with epidemiologists and other public health researchers in NCI on various projects, exploring the use of opioid drugs by cancer patients in the Surveillance, Epidemiology and End Results (SEER)-Medicare Study and modeling smoking behavior changes depending on respiratory illnesses in the Population Assessment of Tobacco and Health (PATH) Study.