Our lab's mission is to develop advanced machine learning algorithms that integrate multiple omics data (e.g. genetics, genomics, epigenetics, metabolomics), environmental exposures (e.g. allergens, viral infections, lung microbiome), images, and clinical characteristics to personalize treatments or phenotyping pulmonary diseases such as sarcoidosis, asthma, and ARDS. Our long-term research goal is to develop a comprehensive algorithm that can predict the treatment responses and can be applied to clinical practice.

 

Lab Resources & Services

The Liao laboratory has experience in big data analysis and bioinformatics and open to collaboration.

 

Current Projects

Metabolomics in severe asthma

 

Collaborators

Nicholas Kenyon, MD
Division Chief, Professor of Medicine
Division of Pulmonary and Critical Care Medicine
University of California-Davis

 

Publications

View all publications