Physician Investigator (Cl) Radiology, Mass General Research Institute

Professor of Radiology Harvard Medical School

Radiologist Emergency Imaging, Massachusetts General Hospital

MD Brown University 1986

acute stroke imaging; brain ischemia; carotid stenosis; cerebral angiography; cerebrovascular circulation; deep brain stimulation; deep learning; dielectric spectroscopy; dual energy ct; electrical impedance spectroscopy; low level light therapy; neuroimaging; neurovascular imaging; perfusion imaging; process workflow analysis; stroke; tomography x-ray computed; traumatic brain injury

The unifying theme of my academic efforts has been the advancement and dissemination of novel methods for imaging brain structure and function in general – and the neurovascular system in particular – through both clinical excellence and translation research, as well as teaching at the local, national, and international levels. I have been recognized as a leader in developing, defining, and communicating the roles of innovative physiological imaging techniques in the management of diverse, clinically important neurological disorders including stroke, cancer, and traumatic brain injury.

Stroke imaging, CTA/CTP

My efforts to establish CT angiography (CTA) and perfusion (CTP) imaging as convenient, low cost alternatives to MRI have significantly influenced the triage of stroke and brain tumor patients worldwide.  Indeed, many of my high-impact publications of the past 15 years – some highlighted by journal editorials and the lay press - have pioneered the emergency use of CT/CTA/CTP in patient selection for thrombolytic stroke therapies, potentially shifted the accepted paradigm regarding the optimal metric for determining admission infarct size using CTP, and set the agenda for imaging studies of brain tumor angiogenesis, staging, and outcome prediction.

• Technical development of novel imaging modalities and optimization of advanced neuro-imaging techniques
• General clinical Emergency and Emergency Neuroimaging, population health, and workflow issues: including machine learning and "big data-mining" techniques as applied to these areas
• Bioengineering: including Electrical Impedance Spectroscopy (EIS) and Deep Brain Stimulation (DBS) electrode development