I build AI systems for problems that matter.

I’m a Biomedical Engineering M.S.E. student at Johns Hopkins, working at the intersection of AI, engineering, and health. My work focuses on building AI systems for screening and clinical decision support, spanning cervical cancer VIA screening and bAVM rupture risk modeling. I’m motivated by projects that combine technical rigor with real human impact.

Portrait of Niranjani Komethagavel

A little more about me

Why biomedical engineering

I chose biomedical engineering because it sits at the boundary between understanding how the human body works and designing systems that can improve care at scale. Growing up, I became deeply aware of how uneven access to healthcare can be, and that perspective continues to shape the kind of work I’m drawn to.

How I think about systems

My background spans both biomedical sciences and artificial intelligence, and I’m especially interested in how AI can be responsibly integrated into real clinical workflows. I enjoy thinking beyond individual models to the full system: data, constraints, users, and the environment in which a tool is deployed. Much of my work focuses on screening and decision support, particularly in settings where resources are limited and design choices matter.

Outside of work

Outside of engineering and research, I enjoy art and design, exploring new cities, and reading sci-fi novels. These interests influence how I think about problem-solving, by balancing rigor with creativity, and impact with thoughtfulness.