Stanford University


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  • Nam Quoc Bui

    Nam Quoc Bui

    Clinical Associate Professor, Medicine - Oncology

    BioDr. Bui is a Clinical Associate Professor of Medicine at the Stanford Cancer Institute and a specialist in Sarcoma. Dr. Bui earned an undergraduate degree in Computer Science at Stanford University and went on to earn his medical degree from the University of Texas Southwestern Medical Center. He completed Internal Medicine residency at Stanford Hospital and Hematology/Oncology fellowship at the University of California San Diego, where he performed extensive research in bioinformatics to analyze tumor sequencing data.

    He is involved in numerous sarcoma clinical trials, leading efforts to take new therapeutics from the lab to clinical practice. His research background and interests are in the field of bioinformatics as applied to large data sets and the study of novel compounds in rare malignancies. He also is involved in education at the Stanford University School of Medicine, serving as a lecturer and mentor to medical students, residents, and oncology fellows. Dr. Bui is the founding Editor-in-Chief of the journal “Current Problems in Cancer: Case Reports”, an international, peer-reviewed journal that publishes groundbreaking cases that give insight into redefining concepts in cancer. He also serves as the Chair of the Data Safety Monitoring Committee at the Stanford Cancer Institute, overseeing the board that reviews all investigator-initiated cancer trials run at Stanford.

  • Scott Bukatman

    Scott Bukatman

    Professor of Art and Art History

    BioScott Bukatman is a cultural theorist and Professor of Film and Media Studies at Stanford University. His research explores how such popular media as film, comics, and animation mediate between new technologies and human perceptual and bodily experience. His books include Terminal Identity: The Virtual Subject in Postmodern Science Fiction, one of the earliest book-length studies of cyberculture; a monograph on the film Blade Runner commissioned by the British Film Institute; and a collection of essays, Matters of Gravity: Special Effects and Supermen in the 20th Century. The Poetics of Slumberland: Animated Spirits and the Animating Spirit, celebrates play, plasmatic possibility, and the life of images in cartoons, comics, and cinema. Bukatman has been published in abundant journals and anthologies, including October, Critical Inquiry, Camera Obscura, Science Fiction Studies, and the Journal of Cinema and Media Studies.

    Hellboy's World: Comics and Monsters on the Margins shows how our engagement with Mike Mignola's Hellboy comics also a highly aestheticized encounter with the medium of comics and the materiality of the book. Scott Bukatman’s dynamic study explores how comics produce a heightened “adventure of reading” in which syntheses of image and word, image sequences, and serial narratives create compelling worlds for the reader’s imagination to inhabit. His most recent book, Black Panther, part of the 21st Century Film Essentials series (University of Texas Press), explores aspects of the 2018 Ryan Coogler film, including the history of Black superheroes, Black Panther's black body, the Wakandan dream, and the controversies around the Killmonger character.

  • Kim Bullock, MD

    Kim Bullock, MD

    Clinical Professor, Psychiatry and Behavioral Sciences

    Current Research and Scholarly InterestsDirector of Virtual Reality & Immersive Techology (VR-IT) Clinic and Lab.
    Use of technology to understand the interaction of sensation, embodiment, and emotional/ behavioral regulation.
    Virtual reality treatments as a sensory modulating device to treat disorders involving body image, sensation, and control. Exploration of the use of mirrored visual feedback while inhabiting a virtual avatar to treat pain and somatic symptom related disorders.

  • Gabrielle Bunney

    Gabrielle Bunney

    Clinical Assistant Professor, Emergency Medicine

    BioGabrielle Bunney, MD, MBA, MS is a Clinical Assistant Professor in the department of Emergency Medicine at Stanford University. She has a passion for using artificial intelligence (AI) models to support emergency medicine care delivery and efficiency. She has worked on projects spanning the whole life cycle in AI for clinical use, from model design and building, to model optimization, and finally the technical and clinical translation of AI for use in patient care. Her current research is focused on designing a model to select patients efficiently and equitably for an early electrocardiogram to detect myocardial infarction.

    She received her Master’s degree from Stanford University’s Department of Biomedical Data Science, where she gained data science the technical experience to apply to her clinical knowledge. Additionally, she holds an MBA from the Kellogg School of Management with a focus in finance and is working with groups at Stanford that are bridging the gap between academic medicine and industry. She is a part of the Stanford Emergency Medicine Partnership Program (STEPP) aimed at building collaborations between the emergency department and companies focused on patient care solutions. The combination of a business background and research skills allow her to focus on the implementation of AI technologies into practice. She is continuing working on AI in healthcare with the philosophy that at the heart of innovation there must be a confluence of the strategic vision of the healthcare organization, economic viability, and practical operationalization.