School of Medicine
Showing 61-80 of 125 Results
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Helena Chmura Kraemer
Professor of Biostatistics in Psychiatry, Emerita
Current Research and Scholarly InterestsI am interested in the methodology pertinent to dealing with research problems where biological and behavioral interests meet. These interests have been applied not only in psychiatric research, but in those areas of Cardiology, Pediatrics and other fields of medicine in which behavioral research is becoming ever more salient.
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Douglas F. Levinson, M.D.
Walter E. Nichols, M.D. Professor in the School of Medicine, Emeritus
Current Research and Scholarly InterestsDr. Levinson directs the Program on the Genetics of Brain Function in the Department of Psychiatry and Behavioral Sciences. The program investigates the genetic basis of psychiatric disorders (schizophrenia and major depressive disorder), using genetic association, linkage and resequencing methodologies. In collaboration with Dr. Alice Whittemore, we are also actively engaged in statistical methods testing and development for genetic research.
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Eric Lin
Clinical Assistant Professor (Affiliated) [Vapahcs], Psych/General Psychiatry and Psychology (Adult)
Staff, Psychiatry and Behavioral SciencesBioEric Lin, MD, is a Clinical Assistant Professor (Affiliated) of Psychiatry and Behavioral Sciences at Stanford University School of Medicine and an addiction psychiatrist at VA Palo Alto. His academic work focuses on artificial intelligence, large language models, machine learning, and psychiatry, with particular interest in the clinical evaluation, safety, and governance of AI systems used in mental health care and related psychological contexts.
Dr. Lin studies how AI systems should be assessed when they interact with patients, clinicians, or psychologically vulnerable users. His work addresses the limitations of benchmark-driven evaluation and the need for clinically meaningful approaches to AI evaluation that incorporate psychiatric expertise, real-world clinical complexity, and post-deployment risk. His broader interests include psychopathology, personality assessment, psychoanalytic and psychodynamic models of mind, and the translation of complex clinical judgment into rigorous evaluation frameworks for emerging technologies.
Dr. Lin completed psychiatry residency at Yale University, where he trained in the Neuroscience Research Training Program, and later completed a medical informatics fellowship through VA Boston, with research at Harvard Medical School/McLean Hospital on computational and digital approaches to psychiatric phenotyping. He is board certified in psychiatry and clinical informatics. His clinical and teaching work in addiction psychiatry grounds his interest in psychiatric complexity, risk assessment, care navigation, and pragmatic implementation of AI tools in health care. He is interested in collaborations across psychiatry, computer science, human-centered AI, health policy, digital mental health, and responsible technology development. -
Xin (Melody) Liu
YogaX Program Coordinator, Psychiatry and Behavioral Sciences
BioXin 'Melody' Liu, MBA, RYT500, is a Program Coordinator with YogaX at Stanford Psychiatry. A graduate of the YogaX 200-hour and 300-hour teacher training programs and currently enrolled in the yoga therapy training program, she is a therapeutic yoga practitioner with a professional background in psychology research and business consulting.
Her approach is grounded in the understanding that wellbeing begins with turning inward, reconnecting with one's authentic self, and recognizing an inherent wholeness, and that what individuals cultivate internally extends outward to their communities as compassion and connection. Drawing on Integrated Holistic Yoga and mind-body science, she offers an integrative approach that incorporates therapeutic yoga, breath work, contemplative practice, and lifestyle medicine.
At YogaX, she provides student and community support, teaching, and mentorship. -
Carlie Malott
Affiliate, Psychiatry and Behavioral Sciences
BioCarlie Malott is a doctoral student in the PAU-Stanford PsyD Consortium. She graduated from Colorado College with a B.A. in Psychology and Education, with academic interests in eating disorder prevention, body image, learning differences, and child and adolescent mental health.
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M Windy McNerney, PhD
Clinical Associate Professor (Affiliated) [Vapahcs], Psych/General Psychiatry and Psychology (Adult)
Staff, Psychiatry and Behavioral SciencesBioDr. M. Windy McNerney is the Director of Biological Sciences for the MIRECC at the Department of Veterans Affairs in Palo Alto, and a Clinical Associate Professor (Affiliated) at Psychiatry and Behavioral Sciences at Stanford School of Medicine. Dr. McNerney holds a particular passion for not only understanding the neurophysiology and biochemistry of mental health diseases, but also advocating for these invisible diseases. Her research focuses on neurodegeneration, depression, TBI, PTSD, and addiction. She is collaborating with researchers to integrate brain imaging and biochemical markers in hopes to better understand these diseases. She also is taking a lead role at the VA in investigating the biochemistry of magnetic brain stimulation and is the leader of the NeuroNado Laboratory. At Stanford University, she is the professor of two popular courses examining the biological and societal issues surrounding substance use disorder, with a major focus on opioids such as fentanyl. She has individually mentored over 25 students from underrepresented groups in STEM activities and leads monthly seminars aimed at facilitating career development. In her free time, she is a community advocate for the treatment of mental health and educates groups about the dangers of fentanyl.
She earned her BS from UC Davis and her PhD from the University of Notre Dame. While at ND, she interned at NASA Ames on Human Factors Engineering. She then went on to a postdoctoral position at Lawrence Livermore National Laboratory (DOE), and then completed a fellowship at the WRIISC program at the VA and Stanford University.
Selected Publications:
McNerney MW, Gurkoff G, Berryhill M (2023). The rehabilitation potential of neurostimulation for mild traumatic brain injury in animal and human studies. Brain Sciences, 13, 1402.
McNerney MW, Kraybill EP Narayanan S, Mojabi F, Venkataramanan V, Heath A (2023). Memory-related hippocampal brain-derived neurotrophic factor activation pathways from repetitive transcranial magnetic stimulation in the 3xTg-AD mouse line. Experimental Gerontology, 183, 11323.
Shuken, S, McNerney MW (2023). Cost and benefits for popular p-value correction methods I three models of quantitative omic experiments. Analytical Chemistry, 95, 2732.
McNerney MW, Heath A, Narayanan S, Yesavage J (2022). Repetitive transcranial magnetic stimulation improves brain-derived neurotrophic factor and cholinergic signaling in the 3xTgAD mouse model of Alzheimer’s disease. Journal of Alzheimer’s Disease, 86, 499..
Heath AM, Brewer M, Yesavage J, McNerney MW. (2021). Improved object recognition memory using post-encoding repetitive transcranial magnetic stimulation. Brain Stimulation, 15, 78.
Yang AC, Vest RT, Kern F, Lee DP, Agam M, Maat CA, Losada PM, Chen MB, Schaum N, Khoury N, Toland A, Calcuttawala K, Shin H, Palovics R, Shin A, Wang EY, Luo J, Gate D, Schultz-Schaeffer WJ, Chu P, Siegenthalar J, McNerney MW, Keller A, Wyss-Coray T (2022). A human brain vascular atlas reveals diverse mediators or Alzheimer’s disease. Nature, 603, 885.
McNerney MW, Hobday T, Cole B, Ganong R, Winas N, Matthews D, Hood J, Lane S (2019). Objective classification of mTBI using machine learning on a combination of frontal electroencephalography measurements and self-reported symptoms. Sports Medicine Open, 4, 14.
McNerney MW, Sheng T, Nechvatal JM, Lee A, Lyons D, Adamson M (2018). Integration of neural and epigenetic contributions to posttraumatic stress symptoms: The role of hippocampal volume and glucocorticoid receptor gene methylation. PLOSONE, e0192222.
Bennion BJ, Be NA, McNerney MW, Lao V, Carlson E, Valdez CA (2017). Predicting a drug’s membrane permeability: A computational model validated with in vitro permeability assay data. Journal of Physical Chemistry, B, 121, 5228.
See more publications at: https://www.ncbi.nlm.nih.gov/pubmed/?term=McNerney%20MW%5BAuthor%5D&cauthor=true&cauthor_uid=17107728
