I’m a Data Engineer and Medical Imaging Researcher at the MeRAQI Lab, part of Indiana University’s Division of Computational Pathology. My work sits at the intersection of high-performance engineering and clinical impact.
Currently, I spend most of my time building and maintaining open-source tools like GaNDLF and sauron. My goal is to move beyond the "black box" of AI, focusing on making deep learning algorithms accountable, reproducible, and—most importantly—functional in low-resource medical environments.
- Reproducible Research: Building frameworks that ensure medical imaging AI works as well in the real world as it does in a paper.
- Engineering for Health: Scaling data pipelines to handle the complexities of pathology and lab medicine.
- Open Source: Contributing to the MLCommons ecosystem to standardize medical AI.
I’m a big believer that science is better when it’s human. When I’m not at my desk, I’m usually in the kitchen (cooking is just chemistry you can eat) or having long conversations about why feelings matter more than facts when it comes to the human experience.
