Bell Eapen MD, PhD.

From stethoscope to source code, my career bridges medicine, data, and design. I began my career as a dermatologist, practicing in settings as different as rural India and the UAE, before pivoting into the world of health IT. That shift led me to a PhD in Information Systems at McMaster University and later to the Mayo Clinic, where I worked as an R&D lead engineer specializing in cloud architecture for Generative AI and multimodal machine learning with FHIR. 

Now, I teach health informatics and information systems at the University of Illinois Springfield, while continuing to design GenAI architectures that bridge clinical workflows and technology. Beyond academia, I maintain open-source software libraries on GitHub and actively help healthcare organizations adopt Generative AI and FHIR. My consulting philosophy is simple: I don’t just write reports—I deliver working prototypes and models that make innovation tangible.