Our research interests are developing analytics methodologies based on statistics and machine learning in biomedical data science; and applying various methods to real-world data, including electronic medical records (EMR), clinical data warehouse (CDW), common data model (CDM), National Health Insurance Bigdata, Korea National Health and Nutrition Examination Survey (KNHANES), atmospheric & environment data from Korea Meteorological Administration. Currently we focus on clinical predictive modeling and real-world research & trial designs.