About
My methodological research focuses on classification, analysis in a spatially and temporally correlated data, and pattern recognition of therapeutic response in medical imaging data. In particular, I has looked at approaches to remove noise in CT images and classifying abnormal pattern in interstitial lung diseases in CT images and applied this method to develop an automated model of classifying and scoring abnormalities in patterns of interstitial lung disease such as fibrotic reticular pattern, groundglass opacity, and honeycomb. In cancer studies, my work involves in identifying a predictive classifier and surrogate outcomes to a therapeutic response, progression-free survival, and overall survival via MRI images.
Selected Courses
Biostat 245 - Winter 2012
Education and Degree(s)
- PhD, Biostatistics, University of California, Los Angeles, CA
- MS, Biostatistics, University of California, Los Angeles, CA
- BS, Mathematics, Ewha Womans University, Seoul, South Korea