Shu Lab

We build clinically grounded, data-driven tools to improve stroke prevention, neuroendovascular care, and neurorecovery—connecting large-scale EHR evidence, imaging, and translational insights to decisions that matter at the bedside.

Our work spans national administrative datasets (e.g., NIS/NRD), multicenter registries, and imaging/AI pipelines, with a bias toward deployable clinical utility (risk stratification, prognostication, and workflow tools).

Focus areas

Peri-procedural stroke
Risk stratification and prevention around procedures and EVT workflows.

Cerebrovascular epidemiology
Nationwide and multicenter evidence (NIS/NRD, registries).

Imaging + computer vision
Neuroimaging phenotypes and practical AI pipelines.

Neurorecovery analytics
Kinematics and neuroanatomy-informed recovery models.

Recent publication highlights

Perioperative Stroke
Stroke (2025) • PubMed: 40444359

IV thrombolysis in CeAD-related AIS
JAHA (2025) • PubMed: 39968775

CeAD incidence trends + recurrent stroke risk
Neurology (2025) • PubMed: 40173376

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