Bio-X


Showing 51-69 of 69 Results

  • Henry T. (Hank) Greely

    Henry T. (Hank) Greely

    Deane F. and Kate Edelman Johnson Professor of Law and, Professor, by courtesy, of Genetics

    Current Research and Scholarly InterestsSince 1992 my work has concentrated on ethical, legal, and social issues in the biosciences. I am particularly active on issues arising from neuroscience, human genetics, and stem cell research, with cross-cutting interests in human research protections, human biological enhancement, and the future of human reproduction.

  • Sherril L. Green, DVM, PhD

    Sherril L. Green, DVM, PhD

    Professor of Comparative Medicine, Emerita

    Current Research and Scholarly InterestsResearch Interests: Xenopus laevis. Husbandry, biology, infectious and parasitic diseases of laboratory Xenopus laevis. Large animal models of disease.

  • Tamar Green

    Tamar Green

    Assistant Professor of Psychiatry and Behavioral Sciences (Interdisciplinary Brain Sciences)

    Current Research and Scholarly InterestsThe Brain Imaging, Development, and Genetic (BRIDGE) Lab focuses on disorders associated with child development, such as attention deficits, hyperactivity, and autism spectrum disorders. we aim to uncover biological principles of how genetic variation and its associated downstream pathways affect children's neurodevelopmental disorders.

  • Harry B Greenberg

    Harry B Greenberg

    Joseph D. Grant Professor in the School of Medicine, Emeritus

    Current Research and Scholarly InterestsMolecular mechanisms of pathogenesis; determinants of protective immunity; host range and tissue tropism in liver and GI tract pathogenic viruses and studies of vaccines in people.

  • Peter Greenberg

    Peter Greenberg

    Professor of Medicine (Hematology), Emeritus

    Current Research and Scholarly InterestsDr Greenberg's clinical research involves design and coordination of clinical trials using experimental drugs with biologic focus for both lower and higher risk MDS patients not responding to standard therapies. These studies are particularly based on his prior laboratory investigations of gene expression and hematopoietic regulation in MDS patients. He is Coordinator of the International Working Group for Prognosis in MDS (IWG-PM) which generated the revised MDS classification system (the IPSS-R) and the mutation-based prognostic risk system, the IPSS-Molecular (IPSS-M). This project uses such findings to more specifically characterize and treat MDS patients. He is Chair of the NCCN Practice Guidelines Panel for MDS.

  • William Greenleaf

    William Greenleaf

    Professor of Genetics

    Current Research and Scholarly InterestsOur lab focuses on developing methods to probe both the structure and function of molecules encoded by the genome, as well as the physical compaction and folding of the genome itself. Our efforts are split between building new tools to leverage the power of high-throughput sequencing technologies and cutting-edge optical microscopies, and bringing these technologies to bear against basic biological questions by linking DNA sequence, structure, and function.

  • Michael Greicius, MD, MPH

    Michael Greicius, MD, MPH

    Iqbal Farrukh and Asad Jamal Professor and Professor, by courtesy, of Psychiatry and Behavioral Sciences (Administrative and Academic Special Programs)

    Current Research and Scholarly InterestsAs the Medical Director of the Stanford Center for Memory Disorders and Principal Investigator of the Stanford Extreme Phenotypes in Alzheimer's Disease (StEP AD) Cohort, Dr. Greicius' research focuses on elucidating the neurobiologic underpinnings of AD. His lab combines cutting edge brain imaging, "deep" phenotyping, and whole-genome sequencing of human subjects to identify novel pathways involved in AD pathogenesis. The goal of his work is to develop effective treatment for AD patients.

  • Kalanit Grill-Spector

    Kalanit Grill-Spector

    Susan S. and William H. Hindle Professor in the School of Humanities and Sciences

    Current Research and Scholarly InterestsFor humans, recognition is a natural, effortless skill that occurs within a few hundreds of milliseconds, yet it is one of the least understood aspects of visual perception. Our research utilizes functional imaging (fMRI),diffusion weighted imaging (DWI), computational techniques, and behavioral methods to investigate the neural mechanisms underlying visual recognition in humans. We also examine the development of these mechanisms from childhood to adulthood as well as between populations.

  • Nicolas Grillet, PhD

    Nicolas Grillet, PhD

    Assistant Professor of Otolaryngology - Head & Neck Surgery (OHNS)

    Current Research and Scholarly InterestsWe are interested in identifying the genes leading to Hearing and Vestibular impairments, and understanding their function at the molecular level.
    We have a special focus on how the Hair Cells are able to detect mechanical stimulation.

  • Eric R. Gross

    Eric R. Gross

    Associate Professor of Anesthesiology, Perioperative and Pain Medicine

    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.

  • Wei Gu

    Wei Gu

    Assistant Professor of Pathology

    BioWei Gu, MD, PhD, is a physician, engineer, and scientist whose research focus is methylation classification within the area of molecular pathology. He has pioneered technologies in cell-free DNA 'liquid biopsy' testing, CRISPR diagnostics, clinical metagenomic sequencing, non-invasive prenatal testing, and COVID diagnostics. Dr. Gu has received awards from the Burroughs Wellcome Career Award and the National Cancer Institute. As a physician, he is a board-certified molecular and clinical pathologist and maintains a clinical practice at Stanford Healthcare.

  • Wendy Gu

    Wendy Gu

    Assistant Professor of Mechanical Engineering and, by courtesy, of Materials Science and Engineering

    BioThe Gu Group studies the mechanical behavior of nanomaterials. We work at the intersection of solid mechanics, materials science and nano-chemistry. We research the unique properties of nanoscale metals, ceramics and nano-architected composites in order to design strong, tough and lightweight structural materials, materials for extreme environments, and mechanically-actuated sensors. Our experimental tools include nanoindentation, electron microscopy, and colloidal synthesis.

  • Xuejun Gu

    Xuejun Gu

    Associate Professor of Radiation Oncology (Medical Physics)

    Current Research and Scholarly InterestsArtificial intelligence in medicine
    Medical imaging and image anlysis
    Treatment planning and clinical decision-making
    FLASH radiobiology study ;

  • Carlos Ernesto Guestrin

    Carlos Ernesto Guestrin

    Professor of Computer Science

    BioCarlos Guestrin is a Professor in the Computer Science Department at Stanford University. His previous positions include the Amazon Professor of Machine Learning at the Computer Science & Engineering Department of the University of Washington, the Finmeccanica Associate Professor at Carnegie Mellon University, and the Senior Director of Machine Learning and AI at Apple, after the acquisition of Turi, Inc. (formerly GraphLab and Dato) — Carlos co-founded Turi, which developed a platform for developers and data scientist to build and deploy intelligent applications. He is a technical advisor for OctoML.ai. His team also released a number of popular open-source projects, including XGBoost, LIME, Apache TVM, MXNet, Turi Create, GraphLab/PowerGraph, SFrame, and GraphChi.

    Carlos received the IJCAI Computers and Thought Award and the Presidential Early Career Award for Scientists and Engineers (PECASE). He is also a recipient of the ONR Young Investigator Award, NSF Career Award, Alfred P. Sloan Fellowship, and IBM Faculty Fellowship, and was named one of the 2008 ‘Brilliant 10’ by Popular Science Magazine. Carlos’ work received awards at a number of conferences and journals, including ACL, AISTATS, ICML, IPSN, JAIR, JWRPM, KDD, NeurIPS, UAI, and VLDB. He is a former member of the Information Sciences and Technology (ISAT) advisory group for DARPA.

  • Leonidas Guibas

    Leonidas Guibas

    Paul Pigott Professor of Engineering and Professor, by courtesy, of Electrical Engineering

    Current Research and Scholarly InterestsGeometric and topological data analysis and machine learning. Algorithms for the joint analysis of collections of images, 3D models, or trajectories. 3D reconstruction.

  • Geoffrey Gurtner

    Geoffrey Gurtner

    Johnson & Johnson Distinguished Professor of Surgery, Emeritus

    Current Research and Scholarly InterestsGeoffrey Gurtner's Lab is interested in understanding the mecahnism of new blood vessel growth following injury and how pathways of tissue regeneration and fibrosis interact in wound healing.

  • 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).