Our general research interest is to understand the interactions of genetics and environmental factors (diet, microbiome, exposure, etc.) related to health and diseases.
We are passionate about democratizing omics data analytics by leveraging statistics, visualization, generative AI, web & cloud technologies.
We combine cutting-edge LC-MS metabolomics and C. elegans models to study host-microbiome interactions within the context of aging.