I am a physician-researcher and Research Fellow at the Center for Surgery Innovation, Mayo Clinic, in Rochester, Minnesota. My work sits at the intersection of surgery, data science, and emerging technology, with a focus on how artificial intelligence, computer vision, and wearable sensing can advance surgical decision-making, intraoperative precision, and patient-centered care.
I have authored more than 190 peer-reviewed publications spanning surgical innovation, minimally invasive and reconstructive surgery, surgical AI and predictive modeling, and infectious disease. My work also includes two issued patents and recognition among the World's Top 2% Scientists by Stanford/Elsevier. I have completed 149 peer reviews across more than 60 international journals and serve as Guest Editor for PLOS ONE and Associate Editor for Shiraz E-Medical Journal.
Since joining the Center for Surgery Innovation, I have been involved in more than 30 IRB-approved research projects and several industry collaborations spanning thoracic, bariatric, plastic and reconstructive, and abdominal-wall surgery. This work includes 3D digital pathology, robotic biopsy and intraoperative AI, wearable postoperative monitoring, machine-learning models for surgical risk prediction, novel medical-device development, and AI-driven patient-education tools, building toward a career as a physician-scientist working at the frontier of advanced surgical methods.
Open-source code, models, and academic software projects — all publicly available at github.com/SoRRad.