Stanford University


Showing 31-40 of 341 Results

  • Roxana Daneshjou, MD, PhD

    Roxana Daneshjou, MD, PhD

    Assistant Professor of Biomedical Data Science and of Dermatology

    BioDr. Daneshjou studied Bioengineering at Rice University before matriculating to Stanford School of Medicine where she completed her MD and a PhD in Genetics with Dr. Russ Altman as part of the medical scientist training program. She completed dermatology residency at Stanford as part of the research track and completed a postdoc in Biomedical Data Science with Dr. James Zou. She currently is the assistant director of the Center of Excellence for Precision Heath & Pharmacogenomics, director of informatics for the Stanford Skin Innovation and Interventional Research Group (SIIRG), a founding member of the Translational AI in Dermatology (TRAIND) group, and a faculty affiliate of Human-centered Artificial Intelligence (HAI) and the AI in Medicine and Imaging (AIMI) centers.

  • Rebecca Dang

    Rebecca Dang

    Instructor, Pediatrics

    BioDr. Rebecca Dang is an Instructor in the Division of General Pediatrics at Stanford University. She earned her medical degree at Georgetown School of Medicine and completed her pediatric residency at Kaiser Permanente Northern California. She also completed pediatric hospital medicine fellowship and a master’s program in clinical research and epidemiology at Stanford University. Dr. Dang provides clinical care for children on the pediatric ward and newborn nursery.

    Dr. Dang’s research interest focuses on high-value pediatric care, which she hopes to improve through building evidence for common, understudied practices. Common practices that are ubiquitous throughout pediatric medicine are temperature measurement and management. Despite temperature measurement and the subsequent detection of ‘normal’ or ‘abnormal’ values driving clinical decision making, these temperature thresholds may be outdated or poorly defined. Dr. Dang has led many projects on temperature-related topics, including routine temperature measurement at well-child visits, pediatric temperature percentiles, risk factors for and outcomes of neonatal hypothermia in the newborn nursery, and newborn temperature norms. This work has led to first-author publications in the high-impact journals of Academic Pediatrics, Pediatrics, Journal of Pediatrics, JAMA Network Open, and Hospital Pediatrics. She has secured continual institutional and foundation funding, including a Maternal & Child Health Research Institute clinical trainee award and master’s tuition program, Gerber Foundation main and novice research award, the Department of Pediatrics’ Bridge-to-K Program, and the PEDSnet Scholars Program.

  • Brian Dang

    Brian Dang

    Clinical Scholar, Radiology
    Staff, Department Funds
    Clinical Scholar, Rad/Neuroimaging and Neurointervention
    Fellow in Radiology

    BioBrian Dang grew up in Rosemead, California. He attended college at the University of California, Irvine, where he majored in Biological Sciences. Brian received his MD degree from Saint Louis University School of Medicine.

  • 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.

  • 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.

  • 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

  • Kyle Gabriel Daniels

    Kyle Gabriel Daniels

    Assistant Professor of Genetics

    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.