Integrating Microbial Ecology with Data Science to Understand Human Health and Ecosystem
We monitor pathogens across diverse environmental, food, and clinical samples. We focus on tracking pathogenic bacteria, antimicrobial-resistant bacteria, and foodborne pathogens using advanced microbiome profiling approaches. Through comprehensive surveillance of microbial communities, we aim to identify emerging threats and inform public health interventions.
Detection of pathogenic and antimicrobial-resistant bacteria
Foodborne pathogen monitoring across food production chains
Multi-matrix surveillance (environmental, food, and human samples)
Risk assessment through microbiome-based detection systems
We investigate the complex relationships between microbial communities and host physiology across multiple organ systems. Our research explores how dietary changes and environmental factors influence the gut-organ axis, including brain, lung, and immune system interactions. We aim to understand how microbial communities respond to and influence host health across different physiological states.
Dietary modulation of microbiome-host interactions
Multi-organ axis communication (gut-brain, gut-lung, gut-immune)
Environmental factors shaping host-microbe relationships
Mechanistic insights into microbiome-mediated host responses
We develop innovative computational tools and analysis pipelines for microbiome and multi-omics research. Our work focuses on creating methods that advance our ability to characterize and quantify microbial communities, including novel approaches for assessing microbial dysbiosis and implementing quantitative profiling techniques.
Microbial dysbiosis index development
Quantitative microbiome profiling pipelines
Integration of multi-omics data (metagenomics, metabolomics, transcriptomics)
Novel bioinformatics tools for microbiome analysis