Bio

Dr. Behnaz Jarrahi is a neuroscientist specializing in neuroimaging, with expertise in data analysis, modeling, and research design. She earned a Master of Science in Management from Stanford and a PhD in Electrical Engineering and Information Technology from ETH. Prior to that, she completed a bachelor's and a master's degree in biomedical engineering at the University of Michigan and multiple bachelor’s degrees in mathematics, chemistry, and brain science with honors. Her passion for studying the brain led her to pursue a postdoctoral fellowship at the UCLA Semel Institute for Human Neuroscience and Stanford University School of Medicine. Dr. Jarrahi currently serves as an instructor and principal investigator at Stanford, where she leads an NIH-funded research project.

Academic Appointments

  • Instructor, Anesthesiology, Perioperative and Pain Medicine

Honors & Awards

  • Invited Session Chair for 'Image Analysis and Classification - Machine Learning Approaches', IEEE EMBC (2023)
  • K25 Mentored Quantitative Research Career Development Award, National Institutes of Health (2020-2025)
  • Invited Grant Reviewer, National Institutes of Health (2020-2021)
  • SFN-IBRO World Congress Travel Award, Society for Neuroscience (2019)
  • Abstract of Distinction, American Academy of Neurology (2018 and 2019)
  • Invited Session Chair for 'Brain Imaging: Connectivity and Networks', IEEE EMBC (2018)
  • T32 NIH Training Program, National Institutes of Health (2016-2019)