Dr. Sung is an Assistant Professor of Biostatistics. She received a PhD in Statistics from the University of Minnesota in 2003 and did post-doctoral research in Medical Genetics at the University of Washington from 2003 to 2006.

Dr. Sung's research interests are statistical genetics, computer programs for gene-mapping, Monte Carlo, maximum likelihood, missing data, and asymptotics. In her PhD research, she developed a Monte Carlo method to approximate the maximum likelihood estimate (MLE) for missing data models. In her postdoctoral research, she developed (1) ascertainment adjustment for multivariate polygenic models and (2) a linkage analysis program lm_twoqtl (in the MORGAN package) using Markov chain Monte Carlo (MCMC) for finding genes influencing complex traits.