Welcome

I'm a neurology resident interested in the intersection of cognition, cerebrovascular disease, and dementia. I live in Pennsylvania and love to run.

Learning tools

Last Known Well — case-based practice applying acute stroke guidelines, risk scores, and imaging selection.

Research

My research has been primarily focused on understanding the brain with non-invasive multi-modal imaging. During my post-baccalaureate fellowship at the National Institutes of Neurologic Disorders and Stroke with Biyu He, I studied the spatiotemporal dynamics of how prior knowledge influences visual perception using fMRI, MEG, and multivariate pattern analysis. Afterwards, I applied neuroimaging analysis in clinical settings to create individualized, targeted brain stimulation protocols for treatment-resistent depression under the mentorship of Desmond Oathes. As a resident at UPMC, I am investigating the real-world outcomes of anti-amyloid therapies in patients with MCI and dementia with neuroimaging, clinical memory scales, and blood-based biomarkers.

Highlighted Project

ASLPrep: a platform for processing of arterial spin labeled MRI and quantification of regional brain perfusion
led by Azeez Adebimpe and PennLINC team

Arterial spin labeled (ASL) magnetic resonance imaging (MRI) is the primary method for non-invasively measuring regional brain perfusion in humans. We introduce ASLPrep, a suite of software pipelines that ensure the reproducible and generalizable processing of ASL MRI data

Nature Methods | Code | Docs