School of Medicine
Showing 21-29 of 29 Results
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Nirao Shah
Professor of Psychiatry and Behavioral Sciences (Major Laboratories and Clinical Translational Neurosciences Incubator), of Neurobiology and, by courtesy, of Obstetrics and Gynecology
Current Research and Scholarly InterestsWe study how our brains generate social interactions that differ between the sexes. Such gender differences in behavior are regulated by sex hormones, experience, and social cues. Accordingly, we are characterizing how these internal and external factors control gene expression and neuronal physiology in the two sexes to generate behavior. We are also interested in understanding how such sex differences in the healthy brain translate to sex differences in many neuro-psychiatric illnesses.
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David Spiegel
Jack, Lulu and Sam Willson Professor of Medicine
Current Research and Scholarly InterestsDr. Spiegel's research program involves mind/body interactions, including cancer progression, the response to traumatic stress, and the effect of hypnosis on the perception of pain and anxiety.
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Edith Vioni Sullivan
Professor of Psychiatry and Behavioral Sciences (Major Laboratories and Clinical Translational Neurosciences Incubator)
On Leave from 07/11/2022 To 10/10/2022Current Research and Scholarly InterestsApplication of neuroimaging modalities and component process analysis of cognitive, sensory, and motor functions to identify brain structural and functional mechanisms disrupted in diseases affecting the brain: alcohol use disorder, HIV infection, dementia, and normal aging from adolescence to senescence.
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Alexander Eckehart Urban
Associate Professor of Psychiatry and Behavioral Sciences (Major Laboratories and Clinical Translational Neurosciences Incubator) and of Genetics
On Leave from 10/01/2021 To 08/31/2022Current Research and Scholarly InterestsComplex behavioral and neuropsychiatric phenotypes often have a strong genetic component. This genetic component is often extremely complex and difficult to dissect. The current revolution in genome technology means that we can avail ourselves to tools that make it possible for the first time to begin understanding the complex genetic and epigenetic interactions at the basis of the human mind.
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Leanne Williams
Vincent V.C. Woo Professor, Professor of Psychiatry and Behavioral Sciences (Major Laboratories and Clinical Translational Neurosciences Incubator) and, by courtesy, of Psychology
Current Research and Scholarly InterestsA revolution is under way in psychiatry. We can now understand mental illness as an expression of underlying brain circuit disruptions, shaped by experience and genetics. Our lab is defining precision brain circuit types for depression, anxiety and attention deficit. We apply computational models to large amounts of brain imaging, behavior and other data. These precision brain types inform our translational intervention studies. To close the loop, field ready insights are applied in practice.
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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 alcoholics and rodent models of alcoholism with the goal of identifying fundamental mechanisms of alcohol effects on the brain. Her human studies include participants with HIV, those comorbid for HIV and alcoholism and recently, aging individuals with mild cognitive impairment. 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 enjoying sharing her knowledge and enthusiasm for learning with her students.
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Qingyu Zhao
Instructor, Psychiatry and Behavioral Sciences
BioI am interested in using machine learning and computational approaches to analyze longitudinal and multi-modal MRI to characterize how the white-matter architecture develops to support coordinated neural activity for developing higher-order executive functions. My research also extends to characterize the impact of alcohol and substance use on structure-function remodeling. My general interest lies in image analysis and machine learning for the detection, diagnosis, and treatment of diseases.
