Dr. Goubran’s research program focuses on developing novel artificial intelligence (AI) and computational tools to probe, predict, and understand circuit alterations, and model brain pathology in neurological disorders. Dr. Goubran’s research interests combine translational and basic science research. He is particularly interested in studying the underlying mechanisms and pathways behind disease progression of neurological and cerebrovascular disorders that involve disruption of neural circuits, including Alzheimer’s disease, traumatic brain injury and stroke. This work can lead to the identification of novel translational biomarkers and therapeutic targets, advance our understanding of the pathophysiologic mechanisms of circuit disorders, and improve cognitive and functional outcomes through earlier and more personalized treatments and prevention strategies.

  • B.MSc., 2010, medical biophysics, Western University, Canada
  • PhD, 2014, biomedical engineering (imaging), Western University, Canada
  • Research scholar, 2015, Montreal Neurological Institute, McGill University, Canada
  • Postdoctoral fellowship, 2017, department of radiology/neuroscience program, Stanford University, U.S.
  • Scientist, Physical Sciences, Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute
  • Assistant professor, department of medical biophysics, University of Toronto

Research Foci

  • Alzheimer’s disease and related dementias
  • Computational Neuroscience
  • Histopathology & tissue clearing
  • Machine learning/artificial intelligence
  • Neuromodulation
  • Stroke
  • Traumatic brain injury

Publications


Affiliated Labs & Programs