Stanford University
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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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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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Sha Zhang
Research Administrator, Medicine - Med/Immunology & Rheumatology
Current Role at StanfordFinancial Analyst
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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. -
Hong Zheng
Research Engineer, Med/BMIR-ITI Institute
BioMy research focuses on understanding the multi-omic landscape (genomics, epigenomics, transcriptomics, etc.) and immune responses in human diseases (cancer, aging, and infectious diseases, etc.), and identifying robust gene signatures and targets for disease diagnostics, prognostics, and therapeutics.