Chiara Mauri, PhD
Research Fellow in Radiology at Harvard Medical School
Research Fellow at Massachusetts General Hospital
Department of Radiology, MGH
PhD, Technical University of Denmark, Department of Health Technology
My research focuses on developing computational methods for image analysis, particularly for image-based prediction and segmentation. During my PhD at the Technical University of Denmark, I mostly worked on brain age prediction based on T1-weighted MRI scans, with a strong focus on interpretability. I developed a novel computational method that predicts brain age accurately at the individual level and at the same time provides biologically meaningful explanations for its predictions. This approach offers valuable insights into the underlying mechanisms of healthy aging and potential deviations in neurological diseases. As part of this project, I collaborated with Klinikum rechts der Isar at the Technical University of Munich, working on brain age prediction on multiple sclerosis patients.
In my postdoctoral research at the Laboratory for Computational Neuroimaging, I have been working on brain segmentation, particularly of small and complex structures like the claustrum and blood vessels. My work involves developing methods that generalize effectively across a wide range of imaging modalities (both in vivo and ex vivo) and spatial scales, from micron-level microscopy to millimeter-level in vivo MRI.
