Stanford University
Showing 34,301-34,400 of 34,902 Results
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Caixiang Zhang
Affiliate, Urology - Divisions
Visiting Scholar, Urology - DivisionsBioHe is a medical doctor and attending physician. Since October 2025, he has been a visiting scholar at Stanford Health Care. He graduated from Capital Medical University. Since 2019, he has been working at Capital Medical University Beijing Friendship Hospital, and has been engaged in the front-line clinical work of urology for a long time. He is dedicated to the diagnosis and treatment of prostate diseases and urological tumors. His main research focuses on clinical and basic research, and he has published many papers in SCI and Chinese core journals, as well as one patent.
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Chongyang Zhang
Postdoctoral Scholar, Cardiology
BioDr. Zhang is a Postdoctoral Scholar at RabLab in the cardiopulmonary division. She has a PhD in Pharmacology from University of Rochester, NY. She has research in cardiovascular research and chronobiology published in high impact peer-reviewed journals. She is recipient of honors including predoctoral fellowship from AHA, Travel Grant for Early Career Investigators from Council on Arteriosclerosis, Thrombosis, and Vascular Biology. She has served as ad hoc reviewer for more than 40 manuscripts for reputed journals.
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Daniel Zhang
Chief of Staff, Institute for Human-Centered Artificial Intelligence (HAI)
BioDaniel Zhang is the chief of staff at the Stanford Institute for Human-Centered Artificial Intelligence (HAI). Previously, he led the Institute's policy research, outreach, and education initiatives. With the goal of developing evidence-based AI policy recommendations, his research interests lie at the intersection of technology policy, governance, and societal impact, including translational and original research on AI regulation and standards, the geopolitical implication of emerging technology, and the governance of large-scale ML models.
Daniel is also a member of the High-Level Expert Group on AI Ethics at UNESCO, advising the agency on the implementation of its Recommendation on the Ethics of AI. Previously, he was the manager of the AI Index where he lead-authored the 2021 and 2022 annual reports that measure and evaluate the rapid rate of AI advancement.
Before Stanford, he worked on global AI talent flows and security risks at the Center for Security and Emerging Technology and public education policy at the Riley Institute Center for Education and Leadership. Daniel holds a Master's in Security Studies from Georgetown University's Walsh School of Foreign Service, where he concentrated on technology policy, and a Bachelor's from Furman University. -
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, and as the Education Director of Stanford Health Care Tri-Valley Neurology. 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 InterestsFree-breathing gated CBCT acquisition on C-arm linear accelerator (LINAC) is time-consuming, typically requiring 2-8 min due to the repeated start-stop gantry motion synchronized with the respiratory gating signal. We propose a next-generation imaging paradigm, nonstop gated CBCT (ngCBCT), to substantially reduce acquisition time, lower imaging dose, and preserve image quality, thereby improving patient comfort and treatment accuracy.
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Hao Zhang
Visiting Physicist, LCLS - Linac Coherent Light Source
BioHao received his MAS.c degree at the University of Victoria in Canada. He is one of the Quantum BC scholars and the Canada NSERC QC CREATE Scholar. Previously, he worked in RF and microwave engineering and since September 2020, he focused on nonlinear optics and plasmon-enhanced optical trapping. Currently, he is a Ph.D. student at the University of California, Los Angeles, supervised by Prof. Sergio Carbajo, and is also an SLAC affiliate. In his free time, he likes hiking, playing basketball, astronomical observation, and painting.
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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.
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Huaiyu Zhang
Clinical Assistant Professor, Medicine - Cardiovascular Medicine
Clinical Assistant Professor (By courtesy), Psychiatry and Behavioral SciencesBioDr. Zhang obtained her MS in Neuroscience from the University of Southern California and earned her PhD in Clinical Psychology from Emory University. She completed both her predoctoral internship and postdoctoral fellowship at Emory University School of Medicine. Prior to joining Stanford in 2023, Dr. Zhang supported survivors of interpersonal violence at the University of California San Francisco Trauma Recovery Center for over seven years. Dr. Zhang embraces an integrative, contextualized, evidence-informed, and strength-based approach to teaching, supervision, and clinical care. She provides services in English and Mandarin.
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Kai Zhang
Postdoctoral Scholar, Radiation Physics
Current Research and Scholarly InterestsMy research develops AI systems for biomedicine, with a focus on multimodal learning, foundation models, and self-improving AI. I study how models can integrate medical images, clinical text, EHRs, and biomedical knowledge to support diagnosis, clinical workflows, and scientific discovery, while improving through feedback, evaluation, and human-AI interaction.
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Ke-You (Yoyo) Zhang
Clinical Assistant Professor, Pediatrics - Gastroenterology
BioDr. Ke-You "Yoyo" Zhang is a board-certified pediatric transplant hepatologist and clinical assistant professor at Stanford University School of Medicine. She serves as Medical Director of both the Intestinal Transplant Program at Lucile Packard Children’s Hospital and the Vascularized Composite Tissue Transplant Program at Stanford Hospital. Dr. Zhang specializes in pediatric intestinal and liver transplantation, with research interests at the intersection of transplant immunology, stem cell therapeutics, and precision medicine.
A graduate of the University of Connecticut School of Medicine, Dr. Zhang completed her pediatrics residency and fellowships in pediatric gastroenterology and transplant hepatology at Stanford. She has authored numerous peer-reviewed publications on topics including pediatric liver and intestinal transplantation, acute rejection, and pancreatitis, and she is a frequent invited speaker at international conferences. Dr. Zhang also directs clinical trials advancing novel therapies for intestinal transplant patients and holds leadership roles in national transplant and hepatology societies.
Her work is recognized with the 2025 Early Career Clinical Excellence Award from Stanford's Department of Pediatrics. Dr. Zhang is deeply committed to improving outcomes and quality of life for children with complex gastrointestinal and liver diseases through innovative, multidisciplinary care. -
Lu Zhang
Postdoctoral Scholar, Endocrinology and Metabolism
BioLu is a postdoctoral research scholar in Dr. Anna Gloyn's Translational Genomics of Diabetes Lab. During her master's and doctoral studies, she focused on epigenomics and single-cell multi-omics analysis, with an emphasis on 3D genomics. Her research included developing Hi-Tag, a chromatin conformation capture technique designed for use with small cell samples. This method provides valuable insights into the organization of chromatin in the cell. She has built strong expertise in combining different types of biological data, including RNA-seq, ATAC-seq, chromatin interaction data, and single-cell data. She has contributed to several research projects as a co-author, including studies that used genome-wide association studies (GWAS) and GTEX data to connect multi-omics data with functional genomics. These experiences have helped her gain a deep understanding of how to integrate different types of genomic data to solve complex biological problems. Currently, Lu is focused on applying her research skills to diabetes.
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Mengrui Zhang
Senior Biostatistician, Med/Quantitative Sciences Unit
BioMengrui’s research focuses on leveraging advanced statistical and machine-learning techniques to extract meaningful insights from complex biological datasets. His research interests include bioinformatics, deep learning/machine learning, statistical testing, high-dimensional data, non-parametric modeling, time series analysis, and spatial statistics. Additionally, he is also interested in developing new methods, tools, and pipelines for various kinds of biological datasets, especially in single cell, RNA-Seq, metagenomics, and proteomics to support drug discovery and development.
