Stanford University
Showing 12,801-12,850 of 13,005 Results
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Yuyang Zeng
Postdoctoral Scholar, Ophthalmology
Current Research and Scholarly InterestsTransgenic therapy for glaucoma based on disease-responsive promoters/enhancers
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Xianghao Zhan
Postdoctoral Scholar, Biomedical Informatics
BioXianghao Zhan is a 5th -year Ph.D. candidate at Stanford Bioengineering. He obtained his M.S in Bioengineering in 2021 and his M.S in Statistics in 2023 both at Stanford. Before that he got B. Eng. in Control Science and Engineering (Automation) and his B. Art in English Language and Literature with Summa Cum Laude at Chu Kochen Honors College, Zhejiang University, China, in 2019.
Under the guidance of Prof. Oliver Gevaert and Prof. David B. Camarillo, he mainly focuses on the optimization of computational modeling of traumatic brain injury with machine learning and animal modeling based on biomechanical and radiological data. His research interests and projects also extend to the data mining of free-text clinical notes with natural language processing, biomedical data fusion for COVID-19 patient outcome prediction, machine learning reliability quantification with conformal prediction, reliability-based semi-supervised learning, and domain adaptation for biomedical sensory systems (with artificial olfaction systems and surface electromyography systems). He has published 18 peer-reviewed articles as a first/co-first author (IF 136.1) in such journals as NPJ Digital Medicine, IEEE Transactions on Biomedical and Health Informatics, IEEE Transactions on Biomedical Engineering, Journal of Sport and Health Science, with 4 first-author journal articles under review. He has been a peer reviewer for 16 journals including Annals of Biomedical Engineering, Journal of Neurotrauma, Computer methods in biomechanics and biomedical engineering.
In addition to his research, he has two master degrees while pursuing his Ph.D. degree: BIOE 2021 and STATS 2023. He has taken more than 10 data science and machine learning courses at Stanford with course project experiences and technical background with UNet-based image segmentation, BERT, Transformer-XL, DeepSEA, BPNet, VAE/SSVAE, flow model, energy-based model cycle-GAN, CNN-based image classification, LSTM-based clinical event prediction, Bi-LSTM-based neural machine translation, BERT, DCT/DWT/STFT, PCA, DRCA, NFL, convex optimization.
His research is recognized by the field and he was awarded with IET Postgraduate Research Award for an Outstanding Researcher (one awardee across the globe, first Chinese), Siebel Scholar Class of 2024, IET Healthcare Technology William James Award (one awardee across the globe), Stanford Interdisciplinary Graduate Fellowship (highest honor for interdisciplinary Stanford graduates), Pfeiffer Research Foundation Fellow, AMIA Trainee Award (six awardees, the only Chinese), American Society of Neurotrauma Trainee Award (20 awardees, the only Chinese), Chu Kochen Scholarship (12/23,000), Ten most Preeminent Students of Zhejiang University (10/36,000), Chinese National Scholarship (Top 0.2%).
He is dedicated to support underrepresented minorities. He has been a program leader for Stanford Summer Research Program and mentored 3 undergrads from the underrepresented minorities. He has been a research mentor at Foothill College for two years and mentored latino students from local community college. Additionally, he is a sports fan with 13 Stanford Intramural champions (10 volleyball, 3 tennis) and two medals from regional volleyball tournaments. He enjoys the sport passion and team spirits as a captain. -
An Ni Zhang
Postdoctoral Scholar, Stanford Cancer Center
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.
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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. -
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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Fanglin Zhang, MD., PhD.
Clinical Assistant Professor, Neurology & Neurological Sciences
BioDr. Zhang is a board-certified, fellowship-trained neurologist. She serves as a clinical assistant professor in the Department of Neurology at Stanford University School of Medicine.
Dr. Zhang diligently excels in diagnosing and treating complex neurological conditions. Her clinical interests span a broad spectrum, with a current emphasis on intractable epilepsy and urgent stroke care. With each patient, Dr. Zhang forms a strong alliance focused on overcoming neurological disease and improving quality of life. She practices a patient-centered and evidence-based medicine.
As a clinician educator, she finds joy in educating both patients and trainees. She also enjoys conducting cutting-edge clinical research. Her work has been published in numerous peer-reviewed journals, such as Neurological Sciences, Annals of Clinical and Translational Neurology, Neuroimage, Glia, Immunology, the Journal of Psychiatric Practice, Journal of Neuroimmunology, etc. Her current research interest includes clinical trials and a large cohort study of the impact of seizures on stroke outcomes.
Among her many honors, Dr. Zhang has won a grant award from the National Multiple Sclerosis Society. Dr. Zhang shows a great enthusiasm in public welfare. She has earned recognition for volunteering her time and expertise at family health centers, hospitals, and schools. -
Harrison G. Zhang
MD Student, expected graduation Spring 2028
MSTP Student
Grad Student, Institute for Human-Centered Artificial Intelligence (HAI)BioHarrison is an MD-PhD trainee at Stanford University advancing precision medicine & global health using machine learning & genomics. He studied statistics and biology at Columbia University, 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
BioDr. 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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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.
