Stanford University
Showing 101-120 of 260 Results
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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.
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Niushen Zhang
Clinical Associate Professor, Neurology & Neurological Sciences
BioDr. Niushen Zhang is a board-certified neurologist and Chief of the Headache and Facial Pain Division in the Department of Neurology. She has a special interest in developing personalized treatment plans for headache patients which incorporate the use of complementary and integrative medicine. She is the Chair of the Complementary and Integrative Medicine Special Interest Section of the American Headache Society (AHS). Her research interests include the connection between the gut microbiome and migraine and the impact of diet and nutrition on migraine. In addition, she participates in clinical trials of new headache treatments for migraine and cluster headache. Dr. Zhang is also actively involved in medical education. She is the Director of the Headache Fellowship Program at Stanford. She serves as the Co-Chair of the Headache Fellowship Directors Committee for the American Headache Society (AHS). She is also a curriculum developer for AHS's REACH Program. She spearheaded the design and creation of the AHS National Headache Fellowship Opportunities website which serves as a central resource for all headache fellowship applicants and promotes the AAN's unified fellowship application timeline.
Dr. Zhang graduated from Yale University with a Bachelor of Science degree in Molecular, Cellular and Developmental Biology. She earned an MD from the New York University School of Medicine. She completed neurology residency and fellowship in headache and facial pain at Stanford University. -
Shu Zhang
Postdoctoral Scholar, Dermatology
BioMy research interest is the correlation between tumor heterogeneity and ecDNA, especially related to drug resistance.
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Tian Yi Zhang, MD, PhD
Assistant Professor of Medicine (Hematology)
BioDr. Zhang is a board-certified hematologist. She is also an assistant professor of hematology at Stanford University School of Medicine. In addition to her medical degree, she holds a PhD in cellular and molecular immunology.
In her clinical practice, she treats patients with all forms of hematological malignancies, offering specialized expertise in acute myeloid leukemia, including therapy-resistant cases. For each patient, she develops a personalized care plan encompassing novel treatment options.
Her research activities include conducting early phase clinical trials, investigator initiated clinical trials (IITs), studying the immune repertoire in patients with myeloid malignancies, and exploring cholesterol metabolic dependencies of acute myeloid leukemia (AML).
She was the recipient of an A.P. Giannini Foundation fellowship award, which supports innovative research. The award helped fund Dr. Zhang’s study of how AML cells interact with other cells in bone marrow. A significant finding confirmed that AML cells secrete a protein that suppresses the production of red blood cells, the same protein that causes inflammation in disorders such as rheumatoid arthritis and Crohn’s disease.
Her many other honors include the National Cancer Institute Career Development (K08) Award, the American Society of Hematology (ASH) Research Training Award for Fellows, Stanford Cancer Institute - American Cancer Society (SCI-ACS) Pilot Grant and Best ASH Abstract Award two years in a row. She also has earned recognition from the National Institutes of Health and American College of Physicians.
She has published her research findings on topics such as advanced therapy for high-risk myelodysplastic syndromes and reversal of bone marrow failure induced by AML. Her work has appeared in Leukemia & Lymphoma, Science Translational Medicine, Cancer Research, the Journal of Clinical Investigation, Journal of Immunology, and elsewhere.
Dr. Zhang is a member of the American Association of Cancer Research and American Society of Hematology. She advises and mentors Stanford medical students, residents and fellows. She delivers invited lectures to faculty and fellows. In addition, she has been an invited speaker on the topic of acute myeloid leukemia at the Association of Northern California Oncologists Update on Hematological Malignancies. -
Weiruo Zhang
Research Engineer, Biomedical Data Science
BioDr. Zhang is currently a research engineer at the Department of Biomedical Data Science, and the data manager in the Center for Cancer Systems Biology at Stanford. Dr. Zhang completed her M.S. and Ph.D. in Electrical Engineering, both from Stanford University. Her Ph.D. studies focused on developing machine learning (ML) algorithms for metabolomics data analysis using graph theory. She received Young Scientist Award from the Metabolomics Society for her algorithm on metabolic network analysis delineating the effects of genetic mutants and drug treatment on the metabolome. Her postdoctoral studies at the Department of Radiology, Stanford School of Medicine, integrated radiomic, genomic, transcriptomic, histopathologic and clinical data that identified a prognostic metabolic regulation biomarker for non-small cell lung cancer. She has developed open-source computational tools that have been appreciated by the broad research community, including the CELESTA algorithm which has been incorporated into commercial analytical platform of NanoString. Dr. Zhang's research has made significant impacts in the fields of spatial multi-omics and cancer systems biology, and she has authored and co-authored publications including Nature, Cell, Nature Methods etc.
Dr. Zhang's current research at Stanford primarily focuses on developing and implementing ML/AI methods to integrate and analyze multi-modality data, including spatial multi-omics, radiologic imaging, histopathologic images and clinical data. Her research aims at bridging the gap between underlying disease molecular/cellular biology and clinical assessment to improve diagnostics, prognostics and treatment strategies. -
Wubing Zhang
Postdoctoral Scholar, Stem Cell Biology and Regenerative Medicine
Current Research and Scholarly InterestsI'm interested in developing innovative methods and integrating multi-omics data to understand tumor-immune regulation and identify potential targets for cancer therapy.
