The broad interest of his lab lies in exploring and understanding microbial diversity and genome evolution. With the development of outstanding sequencing technologies, an enormous amount of genome/ transcriptome/ metagenome data can be used to infer interesting evolutionary theories, physiological behavior, and putative lifestyles of diverse organisms. His lab attempts to utilize this open-source genome/ transcriptome/ metagenome data and generated high throughput data from various sequencing platforms to bridge the gap between computational data, biological function, and organism evolution.