Vascular Diseases: From Big Data to Single Cell

1. Apply state of the art high resolution techniques (spatial and single cell) to understand the biological underpinning to clinical heterogeneity in propensity and severity of vascular diseases.
2. Modeling novel hypothesis generated using in vitro and in vivo models to define the precise mechanism of disease. 
3. Reference human genetics to guide unbiased multi-omic analysis
4. Leverage computational platforms to identify points of intervention, and identify possible therapeutics