Mary Regina Boland

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Translational Informatics:
In the realm of Translational Informatics, I am interested in understanding the etiology and pathology of chronic and complex diseases, e.g., Alzheimer's, Diabetes and Heart Disease, through the application of informatics data mining techniques. As lead author, I developed a high-throughput association method for dental and medical conditions using linked record systems at Columbia University. The goal of this research is to enhance our understanding of the relationships between diseases from across these seemingly disparate domains. Ultimately, I am interested in linking these epidemiological-style studies back to the underlying genetic pathways that contribute to systemic disease. More information can be gleaned by combining clinical and genetic data sources than analyzing one data source separately particularly when trying to understand systemic disease etiology.