Bio

Bio


Dr. Behnaz Jarrahi is a brain researcher who combines an extensive knowledge of neuroimaging data analysis techniques with expertise in biomedical engineering to study morphology, function, and neuroplasticity of the human brain. She graduated cum laude from the University of Michigan with an accelerated Bachelor of Science in Engineering and a Master of Science in Biomedical Engineering degrees. She also holds Bachelor of Arts degrees with honors in Brain Science, Mathematics, and Chemistry as a double major. After working at the Charles River Discovery and Imaging Services (USA), and Max-Planck-Institut für biologische Kybernetik (Germany), she earned her Doctor of Science degree in Electrical Engineering and Information technology from the ETH and a graduate certificate in neuroscience from Universität Zürich. She has completed a postdoctoral fellowship in neuroimaging of Schizophrenia and Parkinson's disease at UCLA and an NIH T32 postdoctoral fellowship in neuroimaging of chronic pain and substance use disorders at Stanford. She is a recipient of the APS Future Leaders in Pain Research grant (2019-2020) and NIH K25 Career Development Award (2020-2025). Her current research at Stanford is focused on multimodal neuroimaging (PET-MRI) and AI application (machine-learning and multivariate analysis methods). She has a long-standing interest in studying interoception to delineate how it evolves to give rise to consciousness, self-related feelings, cognitive (control), and decision-related processes.

Honors & Awards


  • *** Selected List of Honors and, Awards (most recent) ***
  • K25 Mentored Quantitative Research Career Development Award, National Institutes of Health (2020-2025)
  • SFN-IBRO World Congress Travel Award, Society for Neuroscience (2019)
  • Abstract of Distinction, American Academy of Neurology (2018 and 2019)
  • Young Investigator Travel Award, American Pain Society (2018 and 2019)
  • Future Leaders in Pain Research Grant, American Pain Society (2018)
  • Invited session co-chair for ?Brain Imaging: Connectivity and Networks?, IEEE Engineering in Medicine (2018)

Boards, Advisory Committees, Professional Organizations


  • Member, The Institute of Electrical and Electronics Engineers (IEEE)
  • Member, The IEEE Engineering in Medicine and Biology Society (EMBS)

Professional Education


  • Postdoctoral Fellowship, Stanford University, NIH T32 Interdisciplinary Research Training in Pain
  • Postdoctoral Fellowship, University of California at Los Angeles, Clinical Neuroimaging of Parkinson's & Schizophrenia
  • Doctor of Science, ETH Zurich and the University of Zurich, Information Technology & Electrical Engineering, Neuroscience
  • Master of Science in Engineering, University of Michigan at Ann Arbor, Biomedical Engineering
  • Bachelor of Arts, Science & Eng., University of Michigan at Ann Arbor, Biomedical Engineering

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