Genes are controlled by interconnected regulatory networks that shape cellular responses. We use computational approaches to map these networks to understand how they change across individuals and disease states and identify mechanisms driving disease.
Sex Differences in Health and Disease
We study how sex differences in genetics, epigenetics, and gene regulation influence health and disease. Our goal is to understand why disease can develop differently in males and females and provide sex-aware approaches for precision medicine.
From Health to Chronic Disease to Lung Cancer
We study how healthy tissue progresses to chronic lung disease and, in some individuals, cancer. By integrating genetics, epigenetics, and single-cell data, we aim to identify early molecular changes for cancer prevention and early intervention.
Network Medicine for Precision Prevention and Treatment
We turn complex molecular data into tools for precision medicine, including biomarkers, risk-prediction models, and therapeutic strategies. Our network-based approach connects disease mechanisms with clinical outcomes to guide prevention and treatment.