David S. Liebeskind

University of California, Los Angeles, USA

As Professor of Neurology at the University of California, Los Angeles (UCLA) I am Director of the UCLA Stroke Center. I am
also 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. I also serve as Director of the UCLA
Cerebral Blood Flow Laboratory, Director of Outpatient Stroke and Neurovascular Programs and Director of the UCLA
Vascular Neurology Residency Program, training the next generation of vascular neurologists and stroke experts.
I trained in chemical engineering at Columbia University and completed my MD at New York University School of Medicine.
Postgraduate medical training included internship at Beth Israel Hospital, Boston and neurology residency at UCLA. After my
residency, I 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. Since 2004, I have worked at UCLA to advance
education, research and clinical care of stroke, from local to regional and global extents.
I have maintained extensive clinical activity across a broad range of cerebrovascular disorders ranging from carotid disease
to unusual causes of stroke. My clinical expertise includes cerebral venous thrombosis, arterial dissection, moyamoya
syndrome and other causes of stroke in the young. My principal research interests include novel neuroimaging approaches
to elucidate fundamental pathophysiology of cerebrovascular disease in humans with a particular focus on the collateral
circulation. My 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, I run an angiography and imaging core laboratory with extensive
experience over 2 decades of multicenter and global stroke trials, largescale registries and many other stroke studies. My
research on collaterals in intracranial atherosclerosis complements my work on acute stroke, utilizing computational fluid
dynamic modeling and estimates of fractional flow to predict risk of ischemia and reperfusion hemorrhage. I have intertwined
my scientific research and clinical interests in the longitudinal evaluation of blood flow in cerebrovascular disorders to help
improve outcomes of stroke patients worldwide.

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