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I’m a research fellow at the Martinos Center for Biomedical Imaging at Massachusetts General Hospital. My work focuses on developing non-invasive, quantitative MRI techniques to study brain tissue microstructure, with the goal of understanding how the brain changes over time and in different conditions.
A key part of my research is making advanced imaging methods more accessible to the broader research community. I developed Microstructure.jl, a Julia package for fast microstructure imaging across a range of diffusion-relaxometry models, featuring machine learning-based parameter estimation and uncertainty quantification.
I’m currently supported by an NIH Pathway to Independence Award (K99/R00) from the National Institute of Biomedical Imaging and Bioengineering (NIBIB). This award funds efforts to build practical imaging tools for studying biological processes like myelination and synaptic pruning during childhood and adolescence.
I also contribute to several projects funded by the National Institute of Neurological Disorders and Stroke (NINDS), including the BRAIN CONNECTS Center for Large-Scale Imaging of Neural Circuits (LINC), where I develop MRI protocols and analysis methods for high-resolution, multi-dimensional scans of ex vivo human and macaque brains. This work leverages ultra-high-gradient MRI systems to advance and validate non-invasive imaging techniques.
Highlights