I helped cofound HEARTio in 2018, with the goal of identifying patients with coronary artery disease more quickly, more accurately, and at a fraction of the cost as compared to the current standard of care. HEARTio is a digital diagnostic start-up that uses artificial intelligence (AI) and deep learning to detect cardiovascular issues more quickly, and more accurately than ever before. We are able to "upgrade" a commonly used medical test with a robust AI solution, rendering more specific and actionable information directly to doctors. We aim to improve patient outcomes, reduce the time to diagnosis, and drastically lower the cost of treatment.
I am a graduate student at the University of Pittsburgh pursuing my doctorate in Bioengineering and under the advisement of Dr. Natasa Miskov-Zivanov. While my background is in Chemical Engineering and Biochemistry, my current projects focus on the application of computational techniques to help explore and elucidate molecular pathways.
I have proposed my thesis project, and am working on my dissertation. My thesis is entitled, "In Silico Modeling of Macrophage Activation and Communication: Manual and Semi-Automated Assembly of Hybrid Models" and has two main focuses: the accurate simulation of macrophage activation and response to specific stimuli, and the automated assembly and extension of biological models.