Stanford University
Showing 141-150 of 151 Results
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Bo Dehm Wicklund
Affiliate, Psych/Public Mental Health & Population Sciences
BioClinical Research Coordinator- NEAT Lab (Dr. Michelle R. Madore)
University of Connecticut
B.A. Psychology, Minor Cognitive Science -
Shannon Wiltsey Stirman
Professor of Psychiatry and Behavioral Sciences (Public Mental Health and Population Sciences)
Current Research and Scholarly InterestsThe overarching goal of my program of research is to determine how to facilitate access to evidence-based psychosocial interventions (EBPs) in community and public sector mental health settings. Areas of emphasis include training and consultation, treatment fidelity and adaptation, AI and digital mental health interventions, and the identification of strategies that promote sustained implementation of EBPs.
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Helen J. Wood
Affiliate, Psych/Public Mental Health & Population Sciences
BioDr. Helen Wood (she/her) is a clinical psychologist licensed in Vermont and Pennsylvania. She works for INSPIRE training and is also a Clinical Associate Professor at the University of Vermont, Department of Psychological Science. Dr. Wood was previously the psychologist for outpatient psychosis services, including a first-episode psychosis service, at an academic medical center in southwest Pennsylvania, where she led CBTp implementation. She has worked as program director for an adult psychosis inpatient unit, as well as in outpatient services in the US and in the UK’s National Health Service. She co-chairs the North American CBTp Network’s early psychosis working group. Dr. Wood values collaboration with people bringing lived experience knowledge to clinical, training, and research contexts. Dr. Wood’s clinical and research interests focus on understanding the experience of psychosis and improving services and/or other forms of support. Dr. Wood has a BA Hons in History, Theology and Religious Studies from the University of Cambridge, an MSc in Experimental Psychology from the University of Sussex, and a Doctorate in Clinical Psychology from Canterbury Christ Church University, all in the UK.
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Jerome Yesavage
Jared and Mae Tinklenberg Professor and Professor, by courtesy, of Neurology and Neurological Sciences
Current Research and Scholarly InterestsWe study cognitive processes and aging in our research center. Studies range from molecular biology to neuropsychology of cognitive processes.
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Jong H. Yoon
Professor of Psychiatry and Behavioral Sciences (Public Mental Health & Population Sciences)
Current Research and Scholarly InterestsMy research seeks to discover the brain mechanisms responsible for schizophrenia and to translate this knowledge into the clinic to improve how we diagnose and treat this condition. Towards these ends, our group has been developing cutting-edge neuroimaging tools to identify neurobiological abnormalities and test novel systems-level disease models of psychosis and schizophrenia directly in individuals with these conditions.
We have been particularly interested in the role of neocortical-basal ganglia circuit dysfunction. A working hypothesis is that some of the core symptoms of schizophrenia are attributable to impairments in neocortical function that results in disconnectivity with components of the basal ganglia and dysregulation of their activity. The Yoon Lab has developed new high-resolution functional magnetic resonance imaging methods to more precisely measure the function of basal ganglia components, which given their small size and location deep within the brain has been challenging. This includes ways to measure the activity of nuclei that store and control the release of dopamine throughout the brain, a neurochemical that is one of the most important factors in the production of psychosis in schizophrenia and other neuropsychiatric conditions. -
Yu Zhang
Assistant Professor (Research) of Psychiatry and Behavioral Sciences (Public Mental Health and Population Sciences)
BioDr. Yu Zhang's research operates at the intersection of AI, translational neuroscience, and precision medicine. His work focuses on unraveling the complex neurobiological mechanisms underlying cognitive deficits, behavioral dysfunctions, and therapeutic responses in mental health disorders. By integrating advanced machine learning techniques with multimodal brain imaging modalities (e.g., fMRI, DTI, EEG), Dr. Zhang aims to identify neural signatures that reveal the heterogeneity of mental disorders across individuals. A central goal of his research is the development and validation of robust neurobiomarkers to improve diagnostic accuracy, refine prognostic assessments, and guide personalized treatment strategies. His work systematically characterizes brain function and dysfunction to optimize therapeutic interventions, including pharmacological treatments, psychotherapy, and neurostimulation. He is particularly focused on conditions such as Alzheimer’s disease and related dimentia, mood disorders, and neurodevelopmental disorders (e.g., ADHD, ASD), where individualized approaches are essential for improving patient outcomes.
Dr. Zhang has received multiple grants including the NIH R01, R21, Eagles Autism Foundation Translational Grant, Alzheimer's Association Research Grant (AARG), and the Knight Initiative for Brain Resilience and the Rosenkranz Foundation Grants. Beyond foundational research, Dr. Zhang is committed to bridging the gap between computational innovation and clinical application. By collaborating with clinicians, neuroscientists, and engineers, he strives to translate data-driven insights into actionable tools for real-world healthcare settings. His long-term vision is to enable mental health diagnostics and treatment to be guided by objective, biologically grounded biomarkers, thereby enhancing quality of life and long-term outcomes for individuals with psychiatric and neurological conditions.
The Stanford Precision NeuroIntelligence (SPNI) Lab, led by Dr. Zhang, is dedicated to advancing research in AI-driven neuroimaging and precision psychiatry. The lab develops and applies cutting-edge machine learning and deep learning methods to uncover neurobiological mechanisms associated with cognitive and behavioral dysfunctions, as well as treatment responses in mental health conditions. Its mission is to identify translational biomarkers that support precision diagnosis, prognosis, and targeted interventions for mood disorders, neurodevelopmental disorders, and neurodegenerative diseases.
