Post-Doctoral Neurosurgery Research Fellow
Johns Hopkins University
I am a postdoctoral research fellow working at the Johns Hopkins University School of Medicine in the Department of Neurosurgery, with a focus on blood-brain barrier (BBB) and blood-spinal cord barrier (BSCB) opening, as well as AI-driven clinical research. My research is conducted under the mentorship of Dr. Nicholas Theodore and Dr. Daniel Lubelski, as part of the HEPIUS lab.
I graduated from the Lebanese University (LU) - Faculty of Medical Sciences, where my medical training exposed me to a broad spectrum of clinical experiences that stimulated my interest in both clinical and basic science research, particularly in biomedical advancements with translational potential. As a medical student, I collaborated with the Department of Neurological Surgery at LU as a research intern. Subsequently, I completed a Post-Graduate Year (PGY)-1 in Preliminary General Surgery at the American University of Beirut Medical Center (AUBMC), followed by a PGY-2 Neurosurgery residency at the Lebanese American University Medical Center (LAUMC) in Beirut, Lebanon. I then pursued a Ph.D. in Clinical and Translational Sciences (CTS) at Mayo Clinic, under the mentorship of Dr. Mohamad Bydon, where I worked extensively on Neuroinformatics and AI-driven neurosurgical research.
My current research interests encompass surgical outcomes, spinal cord injury, neuro-oncology, and the applications of data science and artificial intelligence in biomedical research. My long-term goal is to become an independent clinician-scientist, specializing in the application of Focused Ultrasound (FUS) for treating brain and spinal cord tumors.
Beyond research, I am actively engaged in developing medical software as a quality officer, working on predictive modeling, and contributing to innovations at the intersection of neurosurgery, AI, and biomedical engineering.
Disclosure(s): No financial relationships to disclose
Saturday, April 26, 2025
4:50 PM – 4:53 PM EDT
Sunday, April 27, 2025
4:41 PM – 4:44 PM EDT