My research focuses on applying computer-assisted analytical methods to multidimensional diagnostic data in order to enhance the understanding of human cardiovascular disease. With clinical training in cardiovascular medicine and scientific training in translational research, my research aims to identify appropriate populations and experimental designs for introducing innovative diagnostic and analytical approaches into clinical care.

Specific areas of interest include computational morphologic analysis of human heart tissue, in-situ molecular diagnostics, and comprehensive characterizations of the role of inflammation and immune cell populations in diseases of the cardiovascular systems. In recent years, I have participated in research characterizing inflammatory markers and immune cell signatures in diseases of the heart and vasculature. I have served as a co-investigator on a prospective clinical trial investigating a targeted tissue sampling and advanced tissue characterization in patients with new- and recent-onset cardiomyopathy. I have also led multiple projects using machine learning computer-vision technologies to identify quantitative morphologic features which strongly predict important patient outcomes in native and transplanted heart tissue samples. My goal is to integrate automated morpho-molecular analysis pipelines with genomic and transcriptomic data to improve prediction and biological characterization of important patient outcomes.