Stanford University
Showing 34,201-34,300 of 34,836 Results
-
Hanfeng Zhai
Ph.D. Student in Mechanical Engineering, admitted Autumn 2023
BioI study mechanics of materials using computer simulations across multiple length and time scales. I am currently working on understanding how material defects and microstructures govern macroscopic mechanical behaviors. This includes constructing plasticity theory from statistics of dislocations, homogenization theory of digital rocks, and developing data-driven methods for multiscale simulations.
I did Research Interns at Mitsubishi Electric Research Labs (working on machine learning for dynamical and energy systems) and Tokyo Electron (working on computational modeling of semiconductor manufacturing).
I am currently teaching (TA & co-lecture) for Elasticity & Inelasticity (ME340). I served as the TA for Finite Element Method (ME335A). -
Mayshu (Meixu) Zhan
Ph.D. Student in Modern Thought and Literature, admitted Autumn 2023
Ph.D. Minor, Communication
Ph.D. Minor, Computer Science
SHI Discussion Leader, Stanford Pre-Collegiate StudiesCurrent Research and Scholarly InterestsMy interdisciplinary research examines digital media through the lens of critical race, gender, and sexuality studies. I am primarily interested in investigating how we can leverage the power of media to reinvent and promote social equality. Specifically, my research focuses on digital games and their prosocial influence on 21st- century China.
-
Aidi Zhang
Postdoctoral Scholar, Geophysics
BioI am interested in the fluid dynamics in geophysical and astrophysical systems. You can find more details on my website (https://aidi-zhang.github.io/)
-
An Ni Zhang
Postdoctoral Scholar, Stanford Cancer Institute
BioAnni obtained her Ph.D. in Dr. James Johnson and Dr. Janel Kopp's labs at the University of British Columbia. Her Ph.D. work showed that hyperinsulinemia contributes to pancreatic cancer development. Her work also showed that insulin directly acted via the insulin receptors in pancreatic acinar cells to increase digestive enzyme production, thereby generating an inflammatory condition that accelerates neoplastic transformation. She is now working at Diehn lab to investigate the mechanisms of KEAP1 mutation-induced immunotherapy resistance in lung cancer.
-
Bing Melody Zhang
Clinical 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. -
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.
-
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.
-
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.
-
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.
-
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.
-
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.
