School of Medicine
Showing 41-53 of 53 Results
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Fernanda Rossi, Ph.D.
Clinical Assistant Professor, Psychiatry and Behavioral Sciences
Current Research and Scholarly InterestsDr. Rossi’s research focuses on developing, evaluating, and implementing assessment tools and interventions to improve the safety and mental health of individuals at risk of intimate partner violence, suicide, and drug overdose. She is particularly interested in using technology and clinical decision support tools to enhance the quality and implementation of intimate partner violence-, suicide-, and substance use-related care.
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Logan Schneider
Adjunct Clinical Associate Professor, Psychiatry and Behavioral Sciences
Current Research and Scholarly InterestsFrom a research perspective, my long-term career plan is to refine the understanding of normal and dysfunctional sleep, much like the Epilepsy Phenome/Genome Project (EPGP) and Epi4K are doing for the enigmatic epilepsies. Insufficient sleep has been deemed a public health problem with poorly understood behavioral and physiologic sleep disorders lying at the core of the issue. I am currently using well-defined distinct and objective phenotypes (e.g. periodic limb movements, hypocretin-deficient narcolepsy) to acquire the analytic skills necessary to expand my knowledge of both signal processing and genetics, with the former enhancing my ability to identify and/or refine sleep phenotypes, and the latter facilitating the pathophysiological understanding of these phenotypes. As a consequence of a better link between symptoms/phenotypes, physiology, and genetic risks, more personally targeted and effective therapeutics can be developed to address the enriched spectrum of sleep disorders.
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Eric Stice
Professor of Psychiatry and Behavioral Sciences (Public Mental Health and Population Sciences)
On Partial Leave from 06/01/2025 To 11/30/2025BioDr. Stice served as an assistant professor and associate professor at the University of Texas at Austin and as a Senior Research Scientist at Oregon Research Institute before joining the faculty at Stanford University. His research focuses on identifying risk factors that predict onset of eating disorders, obesity, substance abuse, and depression to advance knowledge regarding etiologic processes, including the use of functional neural imaging. He also designs, evaluates, and disseminates prevention and treatment interventions for eating disorders, obesity, and depression. For instance, he developed a dissonance-based eating disorder prevention program that has been implemented with over 6 million young girls in 140 countries. He has published 335 articles in high-impact outlets, including Science, Psychological Bulletin, Archives of General Biological Psychiatry, American Journal of Clinical Nutrition, and Journal of Neuroscience.
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Trisha Suppes, MD, PhD
Professor of Psychiatry and Behavioral Sciences (Public Mental Health and Population Sciences)
Current Research and Scholarly InterestsLong-term treatment strategies for bipolar disorder, treatment for bipolar II disorder, use of treatment algorithms, and treatment of major depression.
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Dolores Gallagher Thompson, PhD, ABPP
Professor (Research) of Psychiatry and Behavioral Science (Public Mental Health and Population Sciences), Emerita
Current Research and Scholarly InterestsMy current research focuses on use of technology to improve mental health of older persons and their family members. I have a strong interest in how cultural diversity impacts mental health access, services, and outcomes. I am currently involved in several international research and demonstration projects in collaboration with the World Health Organization and the health care system in Thailand as well as projects in the US - notably, with rural caregivers and those of Asian American ancestry.
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Ranak Trivedi
Associate Professor of Psychiatry and Behavioral Sciences (Public Mental Health and Population Sciences)
Current Research and Scholarly InterestsEnhancing the role of informal caregivers in chronic disease self-management; assessment and treatment of mental illness in primary care settings; psychosocial antecedents and consequences of cardiovascular disease.
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Nina Vasan, MD, MBA
Clinical Assistant Professor, Psychiatry and Behavioral Sciences
Current Research and Scholarly InterestsAt Brainstorm: The Stanford Lab for Mental Health Innovation, we lead the way in digital well-being: translating cutting-edge research into practical solutions for healthier tech use.
We are first and foremost practicing physicians; we treat patients and families. Then, grounded by the foundational oath in medicine to “do no harm,” we help companies build products that prioritize user health with responsibility and care. Our work has shaped platforms used by millions—helping Pinterest design "compassionate search", guiding TikTok in healthy screen-time management, and partnering with ML Commons to establish the first mental health safety benchmarks for large language models (LLMs).
Brainstorm is further committed to “do good” by leveraging these technologies to build a healthier digital world. We advised Dove’s Self-Esteem Project and Real Beauty Prompt Playbook, which studied AI’s impact on beauty and set new digital standards of representation. Additionally, after sharing the results of research conducted with the Stanford Center for AI Safety on the ethics, efficacy, and safety of LLMs providing mental health support, we developed the “Framework for Healthy AI” to guide industry best practices in AI product innovation.
As we apply this expertise to improve users' daily lives, it’s clear that addressing digital intimacy presents unique challenges compared to traditional human relationships. This technology is still emerging, and we are all adapting to it in real-time as it evolves. The big question is: How can we help users cultivate healthy, safe digital relationships?
After seeing success with the Stanford Social Media Safety Plan, which reduced harmful digital behaviors among users, we are now designing the Stanford GenAI Psychological Safety Plan (GPS). The Stanford GPS is a tool to help individuals, tech developers, and policymakers navigate this new terrain and make informed decisions about AI’s role in mental health.
Check out the start of the Stanford GPS in Fortune: This 4-question quiz from Stanford psychiatrists can help protect from the dangers of AI. -
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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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, mood disorders, and neurodevelopmental disorders, where individualized approaches are essential for improving patient outcomes.
Dr. Zhang has received several grants including the R01, R21, and Alzheimer's Association AARG grant. 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.
