Our laboratory develops and applies innovative statistical, computational, and artificial intelligence methods to advance the analysis of complex omics data, with a particular focus on microbiome and metagenomic studies. We develop tools that span the full analytical pipeline, from upstream data preprocessing and integration to downstream quantitative analysis and disease prediction. Our work translates statistical innovation into biomedical discoveries and clinical applications across diverse areas, including cardiovascular disease, aging-related conditions, organ transplantation, cancer, and women’s health. By reducing bias and enhancing sensitivity, our data-driven approaches enable reliable discovery and informed decision-making, accelerating the translation of findings from bench to bedside.