I am a biomedical engineer and PhD student at the University of Pennsylvania with a strong interest in multimodal learning systems, medical image analysis, and the broader applications of AI in diagnostics and therapeutics. My work focuses on developing clinically deployable AI solutions—particularly multimodal models and multi-agent architectures to predict gastro-intestinal disorders, and post-surgical complication prediction. I continue to explore advanced data science methods, machine learning frameworks, and their translation into real clinical workflows.

Before beginning my doctoral studies, I spent three years as a data scientist at Eli Lilly, where I had the opportunity to contribute during the company's rise as the world’s most valued pharmaceutical organization. I helped introduce and scale data science capabilities within the Delivery, Devices, and Connected Solutions team, contributing to innovation programs and interdisciplinary collaborations, including projects with Purdue University. This experience deepened my understanding of how data-driven solutions can meaningfully enhance healthcare delivery at scale.

My industry journey began in 2013 with the development of mobile vision systems for disease diagnosis, followed by work at a diagnostics startup optimizing microfluidics-based immunoassay platforms for hormone detection. These experiences inspired me to co-found a surgical robotics company, where I helped design a platform to support accurate initial punctures in laparoscopy. This entrepreneurial chapter required adaptability and interdisciplinary leadership, allowing me to build, test, and refine technologies that addressed real clinical needs.

While these experiences have shaped my technical and translational perspective, I continue to seek deeper scientific understanding and exposure to cutting-edge research. Pursuing my PhD enables me to collaborate with leading researchers, explore innovative multimodal learning approaches, and contribute to the next generation of clinically impactful biomedical technologies.