Research
What We Do
Introduction
Our lab studies chronic respiratory diseases, including sarcoidosis, interstitial lung disease (ILD), COPD, and asthma, with a focus on improving diagnosis, predicting disease progression, and advancing precision medicine. We integrate multi-omics, population genomics, and artificial intelligence to uncover disease mechanisms and develop clinically actionable biomarkers.
Our current research spans three major areas: multi-omics studies of sarcoidosis progression and fibrosis, large-scale biobank analyses to identify genetic drivers of lung disease, and AI methods that combine molecular, imaging, and clinical data to predict patient outcomes. Prior achievements include discoveries in fibrotic sarcoidosis genetics, metabolic biomarkers, and translational computational approaches supported by foundation and NIH funding.
As the lab grows, our goal is to build a collaborative and innovative research environment that bridges biology, data science, and clinical medicine to transform care for patients with chronic lung disease.
Mission Statement
To advance precision medicine in chronic respiratory disease through innovative research integrating biology, data science, and clinical care.
Our Areas of Focus
Multi-omics Biomarker Discovery
We integrate metabolomics, proteomics, transcriptomics, and genetics to identify biomarkers that improve diagnosis and predict progression in sarcoidosis and interstitial lung disease.
Population Genomics and Disease Risk
We leverage large-scale biobanks and genomic datasets to uncover genetic drivers, ancestry-related differences, and disease mechanisms in chronic respiratory diseases.
Artificial Intelligence and Predictive Modeling
We develop AI methods that combine molecular data, imaging, lung function, and clinical records to predict disease trajectories and enable personalized treatment strategies.