Stanford University
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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 provides comprehensive inpatient and outpatient care for patients with complex neurological disorders. She is a board-certified neurologist and fellowship-trained clinical neurophysiologist. Dr. Zhang is committed to delivering patient-centered, evidence-based care and building strong partnerships with her patients to improve neurological health and quality of life. Her approach emphasizes collaboration, communication, and shared decision-making, ensuring that patients are actively engaged in their care.
As a dedicated clinician-educator, Dr. Zhang is passionate about mentoring the next generation of physicians. She serves as the Site Director for the Stanford Neurology Residency Program and the Neurohospitalist Fellowship Program at Stanford Health Care Tri-Valley. She is also deeply committed to community service and global health.
Dr. Zhang has published extensively in peer-reviewed journals and is committed to advancing innovative clinical research. Her current research focuses on leveraging artificial intelligence and clinical informatics to improve neurological disease prevention, optimize clinical decision-making, and enhance the delivery of neurological care. -
Hao Zhang
Clinical Assistant Professor, Radiation Oncology - Radiation Physics
Current Research and Scholarly Interests- Artificial Intelligence for Medical Imaging
- Novel Imaging Systems
- Medical Image Reconstruction, Segmentation, Registration, and Analysis
- Image-Guided Radiation Therapy
- Motion Management in Radiation Therapy -
Harrison G. Zhang
MD Student, expected graduation Spring 2028
Ph.D. Student in Biomedical Data Science, admitted Autumn 2025
MSTP Student
Grad Student, Institute for Human-Centered Artificial Intelligence (HAI)BioHarrison is an artificial intelligence researcher, Stanford MD-PhD trainee in the Medical Scientist Training Program, and Columbia alumnus advancing precision medicine and drug discovery. He studied statistics and biology at Columbia, where he was elected to Phi Beta Kappa and awarded Magna Cum Laude with Highest Honors in Field for his academic achievements.
