Wu Tsai Human Performance Alliance


Showing 101-120 of 337 Results

  • Grace Gengoux, PhD, BCBA-D

    Grace Gengoux, PhD, BCBA-D

    Clinical Professor, Psychiatry and Behavioral Sciences - Child & Adolescent Psychiatry and Child Development

    Current Research and Scholarly InterestsDr. Grace Gengoux is Director of the Autism Intervention Clinic and leads an autism intervention research program focused on developing and evaluating promising behavioral and developmental treatments for Autism Spectrum Disorder (ASD).

    Dr. Gengoux is also Associate Chair for Faculty Engagement & Well-being and Department Well-being Director in the Department of Psychiatry and Behavioral Sciences, leading the department's Standing Well-being Advisory Committee.

  • Olivier Gevaert

    Olivier Gevaert

    Associate Professor of Medicine (Biomedical Informatics) and of Biomedical Data Science

    Current Research and Scholarly InterestsMy lab focuses on biomedical data fusion: the development of machine learning methods for biomedical decision support using multi-scale biomedical data. We primarily use methods based on regularized linear regression to accomplish this. We primarily focus on applications in oncology and neuroscience.

  • Erin Gibson

    Erin Gibson

    Assistant Professor of Psychiatry and Behavioral Sciences (Sleep Medicine)

    Current Research and Scholarly InterestsGlia make up more than half of the cells in the human brain, but we are just beginning to understand the complex and multifactorial role glia play in health and disease. Glia are decidedly dynamic in form and function. Understanding the mechanisms underlying this dynamic nature of glia is imperative to developing novel therapeutic strategies for diseases of the nervous system that involve aberrant gliogenesis, especially related to changes in myelination.

  • Nicholas Giori MD, PhD

    Nicholas Giori MD, PhD

    Professor of Orthopaedic Surgery

    Current Research and Scholarly InterestsOsteoarthritis
    Medical Device Development

  • Garry Gold

    Garry Gold

    Stanford Medicine Professor of Radiology and Biomedical Imaging
    On Leave from 02/16/2026

    Current Research and Scholarly InterestsMy primary focus is application of new MR imaging technology to musculoskeletal problems. Current projects include: Rapid MRI for Osteoarthritis, Weight-bearing cartilage imaging with MRI, and MRI-based models of muscle. We are studying the application of new MR imaging techniques such as rapid imaging, real-time imaging, and short echo time imaging to learn more about biomechanics and pathology of bones and joints. I am also interested in functional imaging approaches using PET-MRI.

  • Andrea Goldstein-Piekarski

    Andrea Goldstein-Piekarski

    Assistant Professor (Research) of Psychiatry and Behavioral Sciences (Sleep Medicine)

    BioDr. Goldstein-Piekarski directs the Computational Psychiatry, Neuroscience, and Sleep Laboratory (CoPsyN Sleep Lab) as an Assistant Professor in the Department of Psychiatry and Behavioral Sciences at Stanford University School of Medicine and PI within the Sierra-Pacific Mental Illness Research, Education and Clinical Center (MIRECC) at the Palo Alto VA. She received her PhD in 2014 at the University of California, Berkeley where she studied the consequences of sleep on emotional brain function. She then completed a Postdoctoral fellowship at Stanford focusing on understanding the brain basis of anxiety and depression.

    As the director of the CoPsyN Sleep Lab she is developing a translational, interdisciplinary research program that combines human neuroimaging, high-density EEG sleep recording, and computational modeling to understand the neural mechanisms through which sleep disruption contributes to affective disorders, particularly depression, across the lifespan. The ultimate goals of this research are to (1) develop mechanistically-informed interventions that directly target aspects of sleep and brain function to prevent and treat affective disorders and (2) identify novel biomarkers which can identify which individuals are most likely to experience improved mood following targeted sleep interventions.

    This work is currently supported by The KLS Foundation, a R01 from National Institute of Mental Health, and a R61 from the National Institute of Mental Health.

  • Alexander Gonzalez

    Alexander Gonzalez

    Scientific Project Manager

    Current Role at StanfordScientific Project Manager for the Wu Tsai Human Performance Alliance

  • Stuart Goodman, MD, PhD

    Stuart Goodman, MD, PhD

    The Robert L. and Mary Ellenburg Professor of Surgery and Professor, by courtesy, of Bioengineering

    Current Research and Scholarly InterestsAs an academic orthopaedic surgeon, my interests center on adult reconstructive surgery, arthritis surgery, joint replacement, biomaterials, biocompatibility, tissue engineering, mesenchymal stem cells. Collaborative clinical, applied and basic research studies are ongoing.

  • Eric R. Gross

    Eric R. Gross

    Associate Professor of Anesthesiology, Perioperative and Pain Medicine (MSD)

    Current Research and Scholarly InterestsA part of the laboratory studies organ injury and how common genetic variants may affect the response to injury caused by surgery; particularly aldehydes. Aldehyde accumulation can cause many post-operative complications that people experience during surgery- whether it be reperfusion injury, post-operative pain, cognitive dysfunction, or nausea. The other part of the lab studies the impact of e-cigarettes and alcohol, when coupled with genetics, on the cardiopulmonary system.

  • James Gross

    James Gross

    Ernest R. Hilgard Professor, Professor of Psychology and, by courtesy, of Philosophy

    Current Research and Scholarly InterestsI am interested in emotion and emotion regulation. My research employs behavioral, physiological, and brain measures to examine emotion-related personality processes and individual differences. My current interests include emotion coherence, specific emotion regulation strategies (reappraisal, suppression), automatic emotion regulation, and social anxiety.

  • Hyowon Gweon

    Hyowon Gweon

    Associate Professor of Psychology

    BioHyowon (Hyo) Gweon (she/her) is an Associate Professor in the Department of Psychology. As a leader of the Social Learning Lab, Hyo is broadly interested in how humans learn from others and help others learn: What makes human social learning so powerful, smart, and distinctive? Taking an interdisciplinary approach that combines developmental, computational, and neuroimaging methods, her research aims to explain the cognitive underpinnings of distinctively human learning, communication, and prosocial behaviors.

    Hyo received her PhD in Cognitive Science (2012) from MIT, where she continued as a post-doc before joining Stanford in 2014. Honors and awards include: Richard E. Guggenhime Faculty Scholar (2020) and a David Huntington Dean's Faculty Scholar (2019) from Stanford; CDS Steve Reznick Early Career Award (2022), APS Janet Spence Award for Transformative Early Career Contributions (2020), Jacobs Early Career Fellowship (2020), James S. McDonnell Scholar Award for Human Cognition (2018), APA Dissertation Award (2014), and Marr Prize (best student paper, Cognitive Science Society 2010).

  • Laura Gwilliams

    Laura Gwilliams

    Assistant Professor of Psychology and, by courtesy, of Linguistics

    BioLaura Gwilliams is jointly appointed between Stanford Psychology, Wu Tsai Neurosciences Institute and Stanford Data Science. Her work is focused on understanding the neural representations and operations that give rise to speech comprehension in the human brain. To do so, she brings together insight from neuroscience, linguistics and machine learning, and takes advantage of recording techniques that operate at distinct spatial scales (MEG, ECoG and Neuropixels).

  • Nicholas Haber

    Nicholas Haber

    Assistant Professor of Education

    Current Research and Scholarly InterestsI use AI models of of exploratory and social learning in order to better understand early human learning and development, and conversely, I use our understanding of early human learning to make robust AI models that learn in exploratory and social ways. Based on this, I develop AI-powered learning tools for children, geared in particular towards the education of those with developmental issues such as the Autism Spectrum Disorder and Attention Deficit Hyperactivity Disorder, in the mold of my work on the Autism Glass Project. My formal graduate training in pure mathematics involved extending partial differential equation theory in cases involving the propagation of waves through complex media such as the space around a black hole. Since then, I have transitioned to the use of machine learning in developing both learning tools for children with developmental disorders and AI and cognitive models of learning.

  • Francois Haddad

    Francois Haddad

    Clinical Professor, Medicine - Cardiovascular Medicine

    BioDr. Francois Haddad, MD is a Clinical Professor of Medicine that specializes in the field of cardio-vascular imaging, pulmonary hypertension, advanced heart failure and transplantation. Dr. Haddad has over 18 years of practice in the field of cardiology. He directs Stanford Cardiovascular Institute Biomarker and Phenotypic Core Laboratory dedicated to translational studies in cardiovascular medicine. The laboratory focuses on (1) identifying early biomarkers of heart failure and aging, (2) bioengineering approaches to cardiovascular disease modeling and (3) novel informatic approach for the detection and risk stratification of disease. He is involved is several precision medicine initiatives in health including the Project Baseline, the Integrated Personalized Omics Profiling Initiative, the Athletic screening program at Stanford and the Strong-D cardiac rehabilitation initiative in individuals with diabetes mellitus.

  • Lou Halamek

    Lou Halamek

    Professor of Pediatrics (Neonatology) and, by courtesy, of Obstetrics and Gynecology

    Current Research and Scholarly Interests1. development of hospital operations centers coupled with sophisticated simulation capabilities
    2. re-creation of near misses and adverse events
    3. optimizing human and system performance during resuscitation
    4. optimizing pattern recognition and situational awareness at the bedside
    5. evaluation and optimization of debriefing
    6. patient simulator design

  • Brian A. Hargreaves

    Brian A. Hargreaves

    Professor of Radiology (Radiological Sciences Laboratory) and, by courtesy, of Electrical Engineering and of Bioengineering

    Current Research and Scholarly InterestsI am interested in magnetic resonance imaging (MRI) applications and augmented reality applications in medicine. These include abdominal, breast and musculoskeletal imaging, which require development of faster, quantitative, and more efficient MRI methods that provide improved diagnostic contrast compared with current methods. My work includes novel excitation schemes, efficient imaging methods and reconstruction tools and augmented reality in medicine.

  • Melanie Hayden Gephart

    Melanie Hayden Gephart

    Professor of Neurosurgery and, by courtesy, of Neurology and Neurological Sciences

    BioI am a brain tumor neurosurgeon, treating patients with malignant and benign tumors, including gliomas, brain metastases, meningiomas, and schwannomas. I direct the Stanford Brain Tumor Center and the Stanford Brain Metastasis Consortium, collaborative unions of physicians and scientists looking to improve our understanding and treatment of brain tumors. My laboratory seeks greater understanding of the mechanisms driving tumorigenesis and disease progression in malignant brain tumors. We study how rare cancer cell populations survive and migrate in the brain, inadvertently supported by native brain cells. We develop novel cerebrospinal fluid-based biomarkers to track brain cancer treatment response, relapse, and neurotoxicity. Our bedside-to-bench-to-bedside research model builds on a foundation of generously donated patient samples, where we test mechanisms of brain cancer growth, develop novel pre-clinical models that reliably recapitulate the human disease, and facilitate clinical trials of new treatments for patients with brain cancer.

    www.GephartLab.com
    https://stan.md/BrainMets
    @HaydenGephartMD

  • Sarah Heilshorn

    Sarah Heilshorn

    Rickey/Nielsen Professor in the School of Engineering and Professor, by courtesy, of Bioengineering and of Chemical Engineering

    Current Research and Scholarly InterestsProtein engineering
    Tissue engineering
    Regenerative medicine
    Biomaterials