Stanford University
Showing 381-400 of 777 Results
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Yizi Zhang
Postdoctoral Scholar, Neurosurgery
BioYizi Zhang is a postdoctoral scholar at the Neural Prosthetics Translational Lab and the Linderman Lab. Yizi’s research centers on scalable, data-driven approaches to neural encoding and decoding, with a recent emphasis on foundation models for brain-computer interfaces. Yizi is broadly interested in developing AI-assisted neuroprosthetic technologies to help individuals with paralysis communicate and interact more effectively with the world.
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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. -
Yuan Zhang
Basic Life Research Scientist, Psych/Major Laboratories and Clinical & Translational Neurosciences Incubator
Current Role at StanfordBasic Life Research Scientist
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Zeyuan Zhang
Postdoctoral Scholar, Hematology-Oncology
BioZeyuan Zhang, Ph.D., is a Postdoctoral Scholar at Stanford University in the laboratory of Glaivy Batusli, where he is conducting research on the evolution of antibody development against the coagulation protein factor IX in hemophilia B disease models. He earned his Ph.D. in Biomedical Science from the University of Iowa, focusing on cell and developmental biology.
Dr. Zhang’s research centers on the molecular mechanisms underlying metabolic disease, with particular emphasis on organelle dysfunction in obesity. His work has provided insights into GSNOR enzymatic activity, lysosomal dysfunction, and inflammatory stress in metabolic regulation. He has also investigated transcriptional mechanisms contributing to obesity-associated hepatic dysfunction and adipose tissue homeostasis. Prior to joining Stanford, he worked as a Scientist I at Altos Labs, where he studied hepatocyte-specific rejuvenation reprogramming in fatty liver disease.
His technical expertise includes multi-omics approaches, RNA sequencing, chromatin immunoprecipitation, high-resolution respirometry, advanced imaging techniques, and in vivo mouse models. He also has extensive experience in primary cell isolation and histological analysis.
Dr. Zhang is interested in translational research that connects molecular mechanisms to therapeutic strategies, with the goal of developing innovative treatments for metabolic diseases.
