My research areas include statistical genetics, risk prediction modeling, cancer screening, and health policy modeling. I have been developing various statistical methods to analyze large-scale genetic data to understand the interplay between genes and the environment for various complex disease including cancer and neurological diseases. My recent methodological papers were published in high-profile statistical journals including the Journal of the American Statistical Association and Biometrics. In addition to statistical genetics, I have worked on several cancer screening and health policy modeling projects, by developing stochastic simulation models utilizing/merging various data sources including cancer registry data, epidemiologic case-control or cohort data, and nationally representative data such as NHANES (National Health and Nutrition Examination Survey). I have a wide range of methodological projects that BMI students may be interested in learning and working on. Currently, I am advising several medical students and Neurosurgery residents in conducting research, which includes: SEER-Medicare data-based surgery outcome analysis, mutation profiling for lung cancer using Stanford EMR database, and meta-analysis of
substance use disorders.