School of Medicine
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Fayed Rassoulou
Postdoctoral Scholar, Neurology and Neurological Sciences
BioFayed obtained a PhD in Psychology from Heinrich Heine University Düsseldorf, where he worked in the Institute for Clinical Neuroscience and Medical Psychology under Dr. Jan Hirschmann, and a BSc and MSc in Cognitive Science from Université Lumière Lyon 2, France. His dissertation research combined magnetoencephalography (MEG) and deep brain local field potential (LFP) recordings with machine learning to identify electrophysiological signatures that predict which deep brain stimulation (DBS) contacts will provide the greatest clinical benefit for individuals with Parkinson's disease, with the goal of reducing the time required for clinical DBS programming. His postdoctoral work at Stanford with Dr. Helen Bronte-Stewart focuses on cognitive-motor symptoms, gait impairment, and freezing of gait in Parkinson's disease. He combines subthalamic nucleus LFP dynamics, DBS lead localization, and modeling of the volume of tissue activated by stimulation with deep learning-based decoding to better understand and ultimately improve adaptive deep brain stimulation for gait.
