My research fields of interest are in biostatistics, causal inference, machine learning, cloud computing, human microbiome and personalized medicine. I am a biostatistician, and I have led research projects funded by the National Research Foundation of Korea and Incheon Technopark on statistical learning methods for microbiome-based causal mediation analysis and personalized medicine. I have also led, as a founder, director, and principal investigator, the Koh Lab for the Advancement of Biostatistics and Data Science at the State University of New York, Korea, called shortly as KLABDSSUNYK or the Koh Lab at SUNY Korea. Currently, I am working on (1) causal machine learning algorithms to analyze patient-level treatment effects; (2) ensemble learning methods for kernel association testing and dimension reduction; (3) latent variable models to resolve population heterogeneity and batch effect problems; and (4) web cloud computing platforms for user-friendly data processing and analytics.
