Description of Clinical Expertise

Advanced Heart Failure and Transplant Cardiology
Inflammatory Cardiomyopathies

Description of Research Expertise

I am an Assistant Professor of Medicine at the University of Pennsylvania, where my research focuses on the use of advanced computational methods and spatial biology concepts to yield precision medicine breakthroughs. With clinical expertise in cardiovascular medicine, heart failure, and organ transplantation, as well as a scientific training in translational research, I design rigorous experiments to accelerate the application of innovative technologies within patient care.

My research interests include translational applications of computer vision technology, spatial molecular profiling, and tissue immune profiling. I have pioneered the use of quantitative digital pathology for both discovery and diagnostic applications in native and transplanted hearts, with numerous first-in-field applications and publications. I have designed and led prospective clinical studies investigating targeted tissue sampling and advanced tissue analyses in patients with new-onset cardiomyopathy and in patients with complications of heart transplantation. As a result of my scientific efforts, I have received national research awards, been awarded several US patents, presented at numerous international conferences, and have served as key personnel on more than a dozen private and publically funded research grants.

Current areas of investigation focus on multi-modal data integration, combining digital pathology analysis with other data streams to develop novel diagnostic and prognostic platforms. These include performing ‘histo-clinical’ profiling to predict transplant outcomes, performing ‘histo-proteomic’ profiling of potential donor hearts to improve organ allocation decisions, and performing high-plex spatial proteomics to uncover disease mechanisms in cardiac sarcoidosis, HFpEF, and allograft vasculopathy. Because my research occurs at the interface between artificial intelligence, bioinformatics, biomedical engineering, and clinical medicine, it is inherently collaborative. And, by working closely with collaborators across disciplines, institutions, and countries, I gain access to diverse perspectives and that fuel ongoing innovation.