Investigator, Assistant Professor Rad Rsch MART 24 MO NE, Mass General Research Institute

Assistant Professor of Radiology Harvard Medical School

alzheimer's disease; cognitive deficits; machine learning; multimodal neuroimaging; pet imaging I am a neuroimaging scientist with a research focus on the early detection and monitoring of Alzheimer’s disease. We aim to integrate longitudinal PET imaging (targeting amyloid, tau, and cerebral blood flow) with structural and functional MRI to quantify subtle brain changes associated with aging and preclinical AD.

My work centers on the development and application of advanced image processing pipelines, including pharmacokinetic modeling of PET data and multi-modal neuroimaging integration. I also apply machine learning and deep learning methods to model the relationship between neuroimaging biomarkers and digital cognitive performance, including time-resolved features derived from novel digital cognitive assessments.

I’m particularly interested in leveraging high-dimensional, longitudinal imaging and behavioral datasets to improve individualized risk stratification and disease trajectory modeling. My research is supported by NIH funding and carried out in close collaboration with the Harvard Aging Brain Study (HABS) and other interdisciplinary teams.