Population Genomics of Chronic Respiratory Disease
Leveraging population-scale genomics to uncover genetic determinants of lung disease.
Population Genomics of Chronic Respiratory Disease
Identifying genetic drivers of chronic respiratory disease using population-scale biobanks
This project aims to identify genetic drivers and risk factors underlying chronic respiratory diseases, including COPD, asthma, sarcoidosis, and interstitial lung disease (ILD). Despite their high burden, the genetic architecture of these conditions remains incompletely understood, limiting early risk prediction and precision medicine approaches.
Our work leverages large-scale biobanks—including the All of Us Research Program, UK Biobank, and UCLA ATLAS Precision Health Biobank—to perform genome-wide and integrative analyses across diverse populations. We investigate genetic associations, shared and disease-specific pathways, and gene–environment interactions contributing to disease susceptibility and heterogeneity.
By integrating genomic data with clinical phenotypes, we aim to improve risk prediction, uncover biological mechanisms, and enable precision medicine strategies for chronic respiratory diseases.
“My vision is to bridge multi-omics and AI to uncover the hidden biology of lung disease and translate it into meaningful clinical impact.”