School of Medicine

Showing 981-990 of 5,114 Results

  • Linh T Dang

    Linh T Dang

    Adjunct Clinical Instructor, Educational Programs and Services (EPS)

    BioDr. Linh Dang enjoys practicing full-spectrum primary care. She has a special interest in pediatric and women's health with a particular focus on preventative care.

    As a Bay Area native growing up in East San Jose, Dr. Dang especially enjoys working with a diverse population and the most vulnerable and underserved of the community.

  • Christina Magdy Danial

    Christina Magdy Danial

    Adjunct Clinical Assistant Professor, Dermatology

    • Contact Info
    • Other Names:
      Christina Danial
  • Bruce Daniel

    Bruce Daniel

    Professor of Radiology (Body Imaging) and, by courtesy, of Bioengineering

    Current Research and Scholarly Interests1. MRI of Breast Cancer, particularly new techniques. Currently being explored are techniques including ultra high spatial resolution MRI and contrast-agent-free detection of breast tumors.

    2. MRI-guided interventions, especially MRI-compatible remote manipulation and haptics

    3. Medical Mixed Reality. Currently being explored are methods of fusing patients and their images to potentially improve breast conserving surgery, and other conditions.

  • Beharie Danielle

    Beharie Danielle

    Adjunct Clinical Instructor, Educational Programs and Services (EPS)

  • Kay Daniels

    Kay Daniels

    Clinical Professor, Obstetrics & Gynecology - Maternal Fetal Medicine

    Current Research and Scholarly InterestsSpecial interest in :
    1.Ob simulation as a teaching and training tool
    2. Disaster planning for OB units
    3. Global women's health with an emphasis in cervical cancer screening

  • Kyle Gabriel Daniels

    Kyle Gabriel Daniels

    Assistant Professor of Genetics and, by courtesy, of Neurosurgery (Adult Neurosurgery)

    BioKyle obtained his BS in Biochemistry from the University of Maryland College Park in 2010, conducting undergraduate research with Dr. Dorothy Beckett, PhD. He obtained his PhD in Biochemistry with a certificate in Structural Biology and Biophysics. His dissertation is titled "Kinetics of Coupled Binding and Conformational Change in Proteins and RNA" and was completed in the laboratory of Dr. Terrence G. Oas, PhD. Kyle performed postdoctoral training with Dr. Wendell A. Lim, PhD at UCSF studying how CAR T cell phenotype is encoded by modular signaling motifs within chimeric antigen receptors.

    Kyle's lab is interested in harnessing the principles of modularity to engineer receptors and gene circuits to control cell functions.

    The lab will use synthetic biology, medium- and high-throughput screens, and machine learning to: (1) Engineer immune cells to achieve robust and durable responses against various cancer targets, (2) Coordinate behavior of multiple engineered cell types in cancer, autoimmune disease, and payload delivery, (3) Control survival, proliferation, and differentiation of hematopoietic stem cells (HSCs) and immune cells, and (4) Explore principles of modularity related to engineering receptors and gene circuits in mammalian cells.

    • Contact Info
    • Other Names:
      Kyle Daniels
  • Whitney Daniels, MD

    Whitney Daniels, MD

    Clinical Associate Professor, Psychiatry and Behavioral Sciences - Child & Adolescent Psychiatry and Child Development

  • Enrico Danzer

    Enrico Danzer

    Adjunct Clinical Assistant Professor, Pediatrics - Neonatology

  • Diane Dao

    Diane Dao

    Clinical Instructor, Anesthesiology, Perioperative and Pain Medicine

  • Muhammad Najam Dar

    Muhammad Najam Dar

    Affiliate, Ophthalmology Research/Clinical Trials

    BioDr. Muhammad Najam Dar is affiliate researcher at Stanford University and specializing in electrophysiological signal-based ophthalmological solutions. He holds a Ph.D. in Computer Engineering from the National University of Sciences and Technology (NUST), Pakistan, and was awarded the prestigious Erasmus Mundus Fellowship for his doctoral research at City, University of London, United Kingdom.

    With a strong interdisciplinary foundation in biomedical signal and image analysis, computer vision, and deep learning, Dr. Dar has made significant contributions to both academia and industry. His research focuses on developing cutting-edge AI-driven diagnostic tools, wearable smart device signal processing, and systemic workflow optimizations for healthcare applications. His work integrates machine learning, medical imaging, and human-centered design to advance next-generation ophthalmological and biomedical solutions.

    Beyond research, Dr. Dar has extensive experience in teaching, mentorship, and academic leadership, fostering innovation in AI-driven healthcare among the next generation of engineers and scientists. His ability to bridge theoretical knowledge with real-world applications makes him an invaluable asset in advancing biomedical engineering, artificial intelligence in healthcare, and translational research. Dr. Dar aims to become a leader in AI-driven healthcare solutions by advancing cutting-edge research, fostering industry collaborations, integrating design thinking into innovative medical technologies, mentoring and inspiring students and peers, empowering them to to drive transformative advancements in healthcare and improve lives globally.