Bio-X


Showing 381-390 of 1,080 Results

  • 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

    Fortinet Founders Professor

    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
    On Leave from 01/01/2025 To 03/31/2025

    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).

  • 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.

  • Elizabeth Hadly

    Elizabeth Hadly

    Paul S. and Billie Achilles Professor of Environmental Biology and Professor of Earth System Science, Emerita

    Current Research and Scholarly InterestsElizabeth Hadly and her lab probe how perturbations such as climatic change and human modification of the environment influence the evolution and ecology of animals.

  • 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