My research interests fall under two broad categories: 1) statistical genetics, including statistical and algorithmic methodology development, and 2) psychiatric genomics, in particular schizophrenia, major depressive disorder and bipolar disorder. My current work in the field of statistical genomics is on polygenic and epistatic methodology development, pathway analysis, meta-machine learning algorithm development and consensus clustering. In psychiatric genomics, I am interested in the integration of different data types (e.g., genomic, clinical, cognitive and neuroimaging), multiple pathway analysis, hybrid polygenic and epistatic modeling of pathway-based risk for psychiatric disorders.