School of Medicine


Showing 1,361-1,380 of 13,055 Results

  • Kelly Bugos MS, ANP-BC, NPD-BC, AOCNP

    Kelly Bugos MS, ANP-BC, NPD-BC, AOCNP

    Affiliate, Central Mgmt-Misc AR

    BioKelly Bugos MS, ANP-BC is a Director for the Center for Advanced Practice and a nurse practitioner specializing in cancer survivorship at Stanford Health Care. Ms. Bugos is the Director of Professional Development and the Advanced Practice Provider (APP) Fellowship Program. As director, Ms. Bugos focuses on APP leadership development. Opened in 2016, the APP Fellowship Program educates and trains APPs in transition to professional practice and specialty care, like administration and cancer care. She founded the cancer survivorship clinics at Stanford in 2012 and continues to focus her clinical work on helping people touched by cancer restore their health after treatment. Ms. Bugos has developed other professional roles and programs over her career at Stanford, like the nurse practitioner position in the 1990s. She has expertise in leadership of advanced practice providers, complex patient care in the outpatient setting, long term and late effects of cancer and its treatment, including symptom management. She is a frequent speaker and author on these topics at the regional and national level.

  • 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.

  • Phi Long Bui

    Phi Long Bui

    Affiliate, Psych/Public Mental Health & Population Sciences

    BioTony Bui (Research AI Software Engineer) is a computer scientist working at the intersection of natural language processing, mental health, and human-centered AI. He collaborates with Stanford’s Institute for Human-Centered AI (HAI)—in the Computational Psychology and Well-Being Lab—and with Vanderbilt University’s Human Language Analysis Beings (HLAB). He builds evaluation-driven systems that make large language models safer and more useful in clinical training and public-health research. Tony co-organizes SemEval 2026 Task 2 on predicting variation in emotional valence and arousal over time, leading dataset curation, evaluation scripts, and competition infrastructure. He is the lead engineer of TherapyTrainer, a voice-enabled simulation platform that combines retrieval-augmented generation (RAG), LLMs, and analytics to provide feedback to trainees. An active open-source contributor, he modernized the Differential Language Analysis Toolkit (DLATK) and deployed multiple behavioral-analysis pipelines. His broader interests include trustworthy and multilingual LLMs, multimodal signals (text and audio), rigorous evaluation, and equitable access to evidence-based care. Tony holds a B.S. in Computer Science from Stony Brook University and has shipped full-stack products across research labs, hospitals, and startups.

  • Merve Buke Sahin

    Merve Buke Sahin

    Affiliate, Epidemiology and Population Health

    BioEducation:
    Hacettepe University, Faculty of Medicine – Residency in Public Health (2018–2022)
    Erciyes University, Faculty of Medicine – Doctor of Medicine (2010–2016)

    Professional Experience:
    Public Health Specialist – Konya Kulu District Health Directorate (2024–Present)
    Public Health Specialist – Van İpekyolu District Health Directorate (2024)
    Public Health Specialist – Etimesgut District Health Directorate (2022–2024)
    Research Assistant – Hacettepe University, Department of Public Health (2018–2022)
    Coordinating Physician – Van Tuberculosis Control Dispensary (2017)
    General Practitioner – Van Tuşba District Health Directorate (2016)

  • 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.

  • Jeffrey Bunker

    Jeffrey Bunker

    Fellow in Medicine - Med/Infectious Diseases
    Instructor, Medicine - Med/Infectious Diseases

    BioI am a physician-scientist trained in immunology, microbiology, and infectious diseases. I completed an MD and PhD at the University of Chicago and residency in internal medicine at Stanford University, where I am currently a clinical fellow in infectious diseases and postdoctoral researcher.

    My research focuses on adaptive immune responses to microbiota, diet, and pathogens at mucosal surfaces. Dysregulation of these responses is thought to underlie inflammatory bowel diseases, food allergies, celiac disease, and certain infections. My work applies a “specificity-first” approach: by developing tools to resolve lymphocyte antigen receptor specificity at scale, we are interrogating fundamental mechanisms of mucosal tolerance, immunity, and disease, uncovering how specific antigens drive cell fate and function.

    I am an active clinician specializing in the diagnosis and management of complex infectious diseases, including antimicrobial-resistant infections and HIV.

  • 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.