Stroke research · NeuroAI · Clinical translation
Better stroke decisions, from data to bedside.
We combine clinical data, neuroimaging, and computational methods to improve stroke prevention, treatment, and recovery.
What we study
Three connected research areas
Across each area, we focus on results that can inform clinical care.
01
Risk & outcomes
We use large clinical datasets and multicenter collaborations to clarify risk, treatment, recurrence, and long-term outcomes across cerebrovascular care.
02
Clinical AI
We develop practical methods for turning imaging and unstructured health records into reliable, research-ready evidence.
03
Neurorecovery
We pair wearable sensing with machine learning to measure how stroke survivors use the affected arm in everyday activity.
Use the research
Clinical tools
Public decision-support tools derived from completed, peer-reviewed studies.
30-day procedural risk
Peri-procedural Stroke Risk Calculator
Estimate individualized ischemic-stroke risk using the externally validated Brown model.
1- and 3-year risk
DIAS³ Epilepsy Risk Calculator
Estimate epilepsy risk after cerebral venous thrombosis using the internationally validated DIAS³ score.
Selected work
Recent publications
2026
EHR-derived model for 30-day peri-procedural ischemic stroke
Journal of the American Heart Association · Read the paper
2026
Large language models for scalable stroke chart abstraction
American Journal of Neuroradiology · Read the paper
2024
DIAS³ score for epilepsy after cerebral venous thrombosis
JAMA Neurology · Read the paper
Work with us
Build better evidence for stroke care.
We welcome motivated trainees and collaborators.