Stanford University


Showing 801-820 of 2,474 Results

  • Wendy Gu

    Wendy Gu

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

    BioThe Gu Group studies the mechanical behavior and advanced fabrication of metals and ceramics. Current areas of research include the mechanics of solid-state battery materials, soft magnetic alloys and composites, and structural alloys in extreme environments.

  • 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 and Senior Fellow at the Stanford Institute for Human-Centered AI

    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.

  • Junna Gui

    Junna Gui

    Assistant Director QFARM, Ginzton, E.L. Laboratory

    Current Role at StanfordQ-Farm Program Manager

  • 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.

  • Matthew Gunther, MD, MA

    Matthew Gunther, MD, MA

    Clinical Associate Professor, Psychiatry and Behavioral Sciences - Medical Psychiatry
    Clinical Associate Professor (By courtesy), Medicine - Primary Care and Population Health

    Current Research and Scholarly InterestsDr. Gunther’s scholarly work focuses on improving psychiatric care for medically complex patients through integrated behavioral health, medical education, and consultation-liaison psychiatry, with particular emphasis on psychiatry-led education for internal medicine residents, psychiatric interviewing, trauma-informed communication, delirium, catatonia, and psychopharmacology in the medically ill.

  • 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.

  • 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.

  • Stephen Haber

    Stephen Haber

    A.A. and Jeanne Welch Milligan Professor, Senior Fellow at the Hoover Institution and at the Stanford Institute for Economic Policy Research, Professor of History and, by courtesy, of Economics

    BioStephen Haber is the A.A. and Jeanne Welch Milligan Professor in the School of Humanities and Sciences at Stanford University, the Peter and Helen Bing Senior Fellow at the Hoover Institution, and senior fellow at the Stanford Institute for Economic Policy Research. In addition, he is a professor of political science, professor of history, and professor of economics (by courtesy).

    Haber has spent his career investigating why the world distribution of income so uneven. His papers have been published in economics, history, political science, and law journals.
    He is the author of five books and the editor of six more. Haber’s most recent books include Fragile by Design with Charles Calomiris (Princeton University Press), which examines how governments and industry incumbents often craft banking regulatory policies in ways that stifle competition and increase systemic risk. The Battle Over Patents (Oxford University Press), a volume edited with Naomi Lamoreaux, documents the development of US-style patent systems and the political fights that have shaped them.

    His latest project focuses on a long-standing puzzle in the social sciences: why are prosperous democracies not randomly distributed across the planet, but rather, are geographically clustered? Haber and his coauthors answer this question by using geospatial tools to simulate the ecological conditions that shaped pre-industrial food production and trade. They then employ machine learning methods to elucidate the relationship between ecological conditions and the levels of economic development that emerged across the globe over the past three centuries.

    Haber holds a Ph.D. in history from UCLA and has been on the Stanford faculty since 1987.
    From 1995 to 1998, he served as associate dean for the social sciences and director of Graduate Studies of Stanford’s School of Humanities and Sciences. He is among Stanford’s most distinguished teachers, having been awarded every teaching prize Stanford has to offer.

  • Lynette Renae Haberman

    Lynette Renae Haberman

    Program Manager, Student Programs and Training, Sarafan ChEM-H

    Current Role at StanfordProgram Manager, Student Programs and Training

  • 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.

  • 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.