The integration of multi-OMICS data is an extremely challenging problem due to variations in the properties, size, and scale of different omics modalities.

Our team combines network inference techniques with advanced statistical methods for data integration to identify molecular drivers of disease that function across multiple layers of regulation.

We leverage our expert domain knowledge to synthesize key insights across clinical, biological, cellular, and molecular features.