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.
Great News! The Lab has been awarded a 15,250 GPU-hour allocation on Empire AI, a large-scale AI computing platform powered by NVIDIA H100, H200, and B200 GPUs. This computing support will accelerate our development and application of statistical, computational, and artificial intelligence methods for complex omics data analysis, disease prediction, and biomedical discovery.