Dr. Michele Scipioni is a researcher at the Athinoula A. Martinos Center for Biomedical Imaging, where he focuses on the innovation and clinical translation of integrated PET/MRI technologies. With nearly a decade of experience, Dr. Scipioni brings a unique multidisciplinary perspective to the center, drawing from mechanical engineering, computer science, and medical physics. His research vision is centered on revolutionizing our understanding of neurochemical processes through the development of next-generation imaging hardware and software solutions that bridge the gap between technical innovation and clinical application.

During his doctoral training at the University of Pisa, Dr. Scipioni established a research direction focused on developing mathematical frameworks for advanced statistical image reconstruction. This work integrated voxel-wise kinetic map estimation into dynamic PET and MRI datasets, leading to improved diagnostic tools for cardiac amyloidosis and liver cancer. A dedicated proponent of open science, he has authored several high-performance, open-source software libraries for the research community, including TomoLab for PET reconstruction, and gpuKMfit and KMtorch for advanced kinetic modeling.

At the Martinos Center, Dr. Scipioni has played a key leadership role in the development of NeuroSphere, a next-generation, brain-dedicated 7T MR-compatible PET scanner. His contributions range from the mechanical design of the systems unconventional spherical geometry to the implementation of critical RF shielding and cooling solutions to ensure seamless MRI integration. Looking forward, Dr. Scipioni aims to collaborate with investigators across disciplines to maximize the potential of the NeuroSphere, the Cubresa 3T PET insert, and the Siemens Biograph mMR system to drive advancements in neuroscience and clinical imaging.