Stanford University
Showing 41-50 of 112 Results
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Bing Melody Zhang
Clinical Associate Professor, Pathology
Current Research and Scholarly InterestsMy main research interests lie in the following areas:
1) HLA testing for BMT/solid organ transplantation
2) NGS-based TCR/Ig clonality/MRD testing
3) HLA testing in cellular therapy and oncology
4) Genetic/genomic testing for malignant and non-malignant hematologic disorders
5) HLA-related disease association/drug hypersensitivity testing. -
C Pam Zhang
Adjunct Professor
BioC Pam Zhang is the author of two novels, How Much of These Hills Is Gold and Land of Milk and Honey. She is the winner of the Academy of Arts and Letters Rosenthal Award, the Asian/Pacific Award for Literature, and the California Book Award. Zhang is a National Book Foundation 5 Under 35 Honoree, and the recipient of fellowships from MacDowell, the New York Public Library’s Cullman Center, and the American Library in Paris. Her writing appears in Best American Short Stories, The Cut, The New Yorker, and The New York Times. Her work has been translated into twelve languages.
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Fanglin Zhang, MD., PhD.
Clinical Associate Professor, Adult Neurology
BioDr. Zhang is a Clinical Associate Professor of Neurology and Neurological Sciences at Stanford University, where she is dedicated to diagnosing and treating complex neurological disorders in both inpatient and outpatient settings. She is a board-certified, fellowship-trained neurologist and clinical neurophysiologist. Dr. Zhang prioritizes building strong partnerships with her patients, focusing on overcoming neurological diseases and enhancing their quality of life through patient-centered and evidence-based medicine. Her approach emphasizes collaboration and communication, ensuring that her patients are actively involved in their care and treatment plans.
As a clinician educator, Dr. Zhang takes great pleasure in mentoring trainees. She serves as the site director for both the Stanford Neurology Residency Program and the Neurohospitalist Fellowship Program. Additionally, she is the Education Director at Stanford Health Care Tri-Valley Neurology.
Dr. Zhang is passionate about conducting innovative clinical research, with her findings published in numerous peer-reviewed journals. She is also deeply committed to community service and global health, dedicating her time and expertise to initiatives that aim to improve health outcomes and access to care for diverse populations. -
Hao Zhang
Instructor, Cardiovascular Institute
BioI earned my M.D. from Peking Union Medical College, Tsinghua University. Subsequently, I completed my residency and served as a cardiac fellow at Fuwai Hospital, where I developed a strong foundation in the pathophysiology of cardiovascular diseases.
As a postdoctoral researcher and instructor in Dr. Joseph Wu’s lab at Stanford, I established a protocol to derive cardiac fibroblasts (CFs) from human iPSCs, providing an unlimited source of cells for studying cardiac fibrosis. This method generates homogenous iPSC-derived CFs that remain quiescent yet responsive to profibrotic stimuli. Notably, this protocol played a crucial role in developing a multiscale drug discovery platform that integrates human iPSCs, 3D-engineered heart tissues, and animal models of heart failure. Using this platform, I discovered novel signaling pathways and therapeutic targets for cardiac fibrosis. My most recent work has been published in Cell (https://doi.org/10.1016/j.cell.2024.09.034). -
Hao Zhang
Clinical Assistant Professor, Radiation Oncology - Radiation Physics
BioHao Zhang is a Clinical Assistant Professor in the Department of Radiation Oncology at Stanford University. He earned his PhD in Biomedical Engineering from Stony Brook University, followed by a two-year postdoctoral fellowship at Johns Hopkins University. After completing his clinical physics training through the Stanford University Medical Physics Residency Program, he served as an Assistant Attending Physicist and Assistant Member at Memorial Sloan Kettering Cancer Center for five years.
His research interests include the development of novel imaging techniques, mathematical modeling of imaging systems and their underlying physics, integration of sophisticated models into iterative or deep learning-based reconstruction methods, and the translation of these approaches to clinical applications in both diagnostic imaging and image-guided radiation therapy.
