Her methodological research interests include semiparametric and nonparametric methods for evaluating biomarkers and medical diagnostic tests; personalized medicine in disease diagnosis, prognosis, and treatment; machine learning; and longitudinal data analysis. Her current collaborative research interests lie in cancer, maternal and fetal health, and women's health. She is one of the lead statisticians of the American College of Radiology Imaging Network (ACRIN), conducting clinical research to evaluate diagnostic imaging and image-guided therapy for cancer. Dr. Kim currently teaches Linear and Generalized Linear Models, Advanced Methods for Multivariate Analysis, and Longitudinal Data Analysis in the Department of Biostatistics.