My interests focus primarily on the use of quantitative and computational science for the development of new imaging techniques and novel data analysis procedures. I work to apply these techniques and procedures to the identification of cerebrovascular disease severity.
My current project is the application of supervised learning methods to implement novel data analysis to a variety of novel contrasts, especially in cerebral blood flow and cerebrovascular reactivity. The goal of my research is to identify severity of disease in patients who have intracranial arterial stenosis from non-atherosclerotic diseases like Moyamoya. It may be possible to use these techniques to assist in treatment planning for a variety of cerebrovascular diseases.