School of Medicine
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Natalie M. Zahr
Assistant Professor (Research) of Psychiatry and Behavioral Sciences (Major Laboratories)
BioNatalie M. Zahr received a graduate education in the basic sciences including the study of neuro- pharmacology, physiology, and anatomy. After completing her graduate training in electrophysiology, she began a postdoctoral fellowship as a magnetic resonance imaging (MRI) scientist. Her work focuses on translational approaches using in vivo MR imaging and spectroscopy in studies of human with Alcohol Use Disorders (AUD) and in rodent models of alcohol exposure with the goal of identifying mechanisms of alcohol effects on the brain. Her human studies include participants with HIV, those co-morbid for HIV and AUD and recently, aging individuals with mild cognitive impairment (MCI). Her position allows her to explore emerging MR technologies and apply them to test relevant hypotheses. Before joining Stanford, she taught at several local institutions including UC Berkeley extension and Santa Clara University where she enjoyed sharing her knowledge and enthusiasm for learning with students.
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Xue Zhang
Clinical Assistant Professor, Psychiatry and Behavioral Sciences
BioDr. Xue Zhang is a Clinical Assistant Professor in the Department of Psychiatry and Behavioral Sciences at Stanford University. She received her PhD in Biomedical Engineering from Tsinghua University in 2019 and completed research training in neuroimaging and computational methods at Stanford.
Dr. Zhang’s research focuses on how individual differences in brain circuits contribute to psychiatric symptoms and treatment response. Working at the intersection of neuroimaging, computational neuroscience, and precision psychiatry, she uses functional MRI and data-driven approaches to study brain mechanisms underlying depression, PTSD, and related conditions.
A major focus of her work is understanding how rapid-acting therapeutics, including ketamine, MDMA, and psilocybin, acutely and durably modulate brain activity and connectivity. Her long-term goal is to develop personalized neuroimaging markers that can help match patients to the treatments most likely to benefit them.