fabien scalzo, phd

Assistant Professor | UCLA Department of Neurology

Assistant Professor | UCLA Department of Computer Science

Prof. Fabien Scalzo is currently conducting research as an Assistant Professor in residence at UCLA with a double affiliation in Neurology and Computer Science. Initially trained in pattern recognition and machine learning during his doctorate studies, his field of expertise was expanded thanks to a postdoctoral training in neurology and neurosurgery. As associate director of the neurovascular imaging research core (NIRC), he specializes in building computational models for neuroimaging and neurocritical care. His lab has developed noninvasive techniques for estimation of intracranial pressure (ICP) from transcranial Doppler (TCD) ultrasound, prediction of intracranial hypertension in traumatic brain injuries (TBI). His studies are based on systems to track, and to exploit the morphology of the ICP waveform to improve the understanding and treatment of various pathophysiologies related to TBI. He has also developed perfusion angiography (PerfAngio); a software that allows the extraction of quantitative blood flow parameters from routine angiograms acquired during treatment of acute ischemic stroke. His most recent works has targeted the development of automatic predictive models of brain tissue fate in ischemic stroke based on MRI using advanced machine learning techniques such as Deep Learning. His research is currently supported by the American heart association (AHA), society of vascular and interventional neurology (SVIN), and a Spitzer grant.