David S. Liebeskind, M.D.

David S. Liebeskind, M.D.

Professor – Clinical Neurology


David S. Liebeskind, MD, FAHA, FAAN, FANA is Professor of Neurology at the University of California, Los Angeles (UCLA) where he is Director of Outpatient Stroke and Neurovascular Programs. He is Director of the Neurovascular Imaging Research Core, leading global efforts to advance data science and precision medicine of stroke imaging for prevention, acute therapies and recovery after stroke.

He is Director of the UCLA Cerebral Blood Flow Laboratory, Associate Director of the UCLA Stroke Center and Director of the UCLA Vascular Neurology Residency Program, training the next generation of vascular neurologists and stroke experts.

He trained in chemical engineering at Columbia University and completed his MD at New York University School of Medicine. Postgraduate medical training included internship at Beth Israel Hospital, Boston and neurology residency at UCLA. After his residency, he completed a fellowship in stroke and cerebrovascular disease at UCLA and subsequently joined the faculty in the Departments of Neurology and Radiology at the University of Pennsylvania. He has advanced education, research and clinical care of stroke at UCLA since 2004.

He has maintained extensive clinical activity across a broad range of cerebrovascular disorders ranging from carotid disease to unusual causes of stroke. Clinical expertise includes cerebral venous thrombosis, arterial dissection, moyamoya syndrome and other causes of stroke in the young. His principal research interests include novel neuroimaging approaches to elucidate fundamental pathophysiology of cerebrovascular disease in humans with a particular focus on the collateral circulation. His work on collateral perfusion in acute ischemic stroke draws on advances in noninvasive, multimodal CT and MRI and detailed analyses of digital subtraction angiography.

As Director of the Neurovascular Imaging Research Core, he runs an angiography and imaging core laboratory that has participated in central readings of MERCI, Multi MERCI, IMS-III, TREVO EU, TREVO 2, SWIFT, STAR, SWIFT-PRIME, DAWN, TREVO Registry, STRATIS, HERMES and many other stroke studies. His research on collaterals in intracranial atherosclerosis complements his work on acute stroke, utilizing computational fluid dynamic modeling and estimates of fractional flow to predict risk of ischemia and reperfusion hemorrhage. He has intertwined his scientific research and clinical interests in the longitudinal evaluation of blood flow in cerebrovascular disorders to help improve outcomes of all stroke patients.