Stanford University
Showing 21-30 of 106 Results
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Asad Gul Rao
Postdoctoral Scholar, Pediatric Surgery
BioAs a Postdoctoral Research Scholar in the Division of Pediatric Surgery at Stanford University School of Medicine, I conduct outcomes research focused on improving the care of children with surgical disorders. My work integrates clinical epidemiology, large-scale healthcare databases, and population-level analyses to study pediatric surgical outcomes, healthcare disparities, and global disease burden.
My research interests include pediatric surgical infections, congenital anomalies, health services research, and evidence-based approaches to optimizing surgical care. I have experience working with multicenter clinical databases and international collaborative research initiatives, with a particular interest in translating real-world data into findings that help clinical practice and healthcare policy.
My long-term goal is to pursue a career in academic pediatric surgery, combining clinical practice with research to improve surgical outcomes and expand access to high-quality care for children worldwide. -
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.
