Radiology Resident
Medical Imaging Artificial Intelligence Hardware
Radiology resident at St. Luke's Anderson, building at the intersection of diagnostic imaging, deep learning, and purpose-built hardware to expand what is clinically possible.
Focus
Three fields that rarely talk to each other - the gaps between them are where the most interesting problems live.
CT, MRI, and X-ray acquisition, reconstruction, and interpretation. Interested in how physics constraints shape diagnostic capability, and where software can compensate without compromising clinical fidelity.
Deep learning for image segmentation, anomaly detection, and structured report generation. Focused on models that are interpretable and safe enough for real clinical deployment, not just benchmark leaderboards.
Embedded systems and custom electronics. Building the instruments that existing imaging infrastructure lacks, from purpose-built clinical tools to custom 3D printer builds from scratch.
Outside the hospital: building 3D printers from scratch, running home automation systems, and working on scripted pipelines to automate 3D volumetric processing of DICOM datasets for surgical planning and anatomy education.
Work
Touchless PACS gesture control
Hand-gesture navigation of DICOM image stacks: slice scrolling, window/level, and zoom driven by a Leap Motion sensor instead of a mouse. Built for the sterile field and gloved interventional settings, where touching a workstation breaks asepsis and the usual workaround is verbally directing someone else to drive. Extends toward 3D volumetric interaction: gesture-manipulated CT/MRI volumes rendered in Unreal Engine for surgical planning and education.
Myo/Nog cells and neovascularization during wound healing
Demonstrated a negative correlation between Myo/Nog cell presence and new blood vessel formation during wound healing, suggesting these cells play a regulatory role in angiogenesis. Presented at PCOM Research Day, Philadelphia, May 2023.
Neuroprotective role of hyperoxia in normal and retinitis pigmentosa retinas
Extended oxygen-sensitivity findings into a disease model, showing hyperoxia during the critical developmental period has a neuroprotective effect on photoreceptors in both wild-type mice and a retinitis pigmentosa model.
Oxygen sensitivity during the critical period of retinal development
Functional and histological analysis of how hyperoxia, hypoxia, and normoxia during the critical developmental window (P7–P20) affect photoreceptor survival, finding that hyperoxia significantly reduces apoptosis compared to normal oxygen levels.