Biomedical AI researcher and ML PhD researcher building clinically grounded AI systems across spine CT, image-guided surgery, 3D medical visualization, deep learning, and multimodal language models.
Biomedical AI researcher focused on medical imaging, 3D workflows, deep learning, and clinical translation.
First-author medical imaging project converting simple vertebral body annotations into clinically meaningful global spinal alignment measurements. The workflow highlights the kind of hands-on imaging work relevant to 3D Slicer roles: anatomical landmarking, vertebral labeling, 3D visualization, point-cloud generation, and quantitative measurement extraction.
Representative work spanning multimodal LLMs, spine CT, 3D Slicer workflows, deep learning classification, image-guided surgery, and surgical data science.
Developing multimodal large language models that combine electronic health record structured data, clinical notes, and medical images to predict ICU deterioration and support clinically grounded AI implementation.
Developed deep learning methods to automatically predict Thoracolumbar Injury Classification and Severity Score from CT imaging for streamlined spine trauma treatment support.
First-author pipeline converting vertebral body annotations into automated global spinal alignment measurements, with workflow components directly relevant to 3D Slicer annotation, visualization, and quantitative imaging roles.
Contributed to projects in instrumentation detection, registration, vertebral localization, pedicle screw planning, intraoperative cone-beam CT, and robot-assisted spine surgery workflows.
My work bridges medical imaging research and practical AI workflows: annotation, 3D visualization, image registration, deep learning model development, clinical scoring prediction, and evaluation of imaging algorithms in surgical settings.
I intentionally frame my work as biomedical AI and imaging research for industry audiences while retaining the clinical fluency that helps me evaluate medical AI systems responsibly.
Flexible project-based availability for teams needing medical imaging expertise, clinical AI judgment, technical review, dataset evaluation, or research support.
Publications across CT-based classification, 3D Slicer workflows, image-guided surgery, registration, instrumentation detection, and surgical data science.
Outside of imaging research, I love spending time in nature and taking photographs. I am drawn to structure, texture, pattern, scale, and light in both medical imaging and the natural world. Adding a small photography section showcases a piece of me outside of my research.
I combine biomedical engineering, medical imaging research, deep learning publications, and current ML PhD work on multimodal clinical AI systems.