School of Medicine
Showing 4,401-4,420 of 5,034 Results
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Suzanne Tamang
Assistant Professor of Medicine (Immunology and Rheumatology)
BioDr. Suzanne Tamang an Assistant Professor in the Department of Medicine, Division of Immunology and Rheumatology and a Faculty Fellow at the Stanford Center for Population Health Sciences. She is also the Computation Systems Evaluation Lead at the VA Office of Mental Health and Suicide Prevention's Program Evaluation Resource Center. Dr. Tamang uses her training in biology, computer science, health services research and biomedical informatics to work with interdisciplinary teams of experts on population health problems of public interest. Integral to her research, is the analysis of large and complex population-based datasets, using techniques from natural language processing, machine learning and deep learning. Her expertise spans US and Danish population-based registries, Electronic Medical Records from various vendors, administrative healthcare claims and other types of observational health and demographic data sources in the US and internationally; also, constructing, populating and applying knowledge-bases for automated reasoning. Dr. Tamang has developed open-source tools for the extraction of health information from unstructured free-text clinical progress notes and licensed machine learning prediction models to Silicon Valley health analytics startups. She is the faculty mentor for the Stanford community working group Stats for Social Good.
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Manjula Kurella Tamura
Professor of Medicine (Nephrology)
Current Research and Scholarly InterestsDr. Kurella Tamura is Professor of Medicine and Director of the Geriatric Research and Education Clinical Center at the Palo Alto VA, a VA Center of Excellence of more than 20 talented investigators, post-doctoral trainees and staff whose work addresses the intersection of aging and chronic disease.
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Brent Tan
Clinical Professor, Pathology
Current Research and Scholarly InterestsMy research interest is in the use of molecular, flow cytometric, and cytogenetic methods to understand and characterize hematopoietic neoplasms. In addition, I have medical oversight of clinical laboratory informatics.
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Jane C. Tan
Professor of Medicine (Nephrology) and, by courtesy, of Surgery (Abdominal Transplantation)
Current Research and Scholarly InterestsMy research relates to issues pertaining to clinical kidney transplantation. We have ongoing studies on the following topics.
1. Renal senescence and kidney transplant, and chronic allograft nephropathy.
2. Living donor safety and response to uninephrectomy.
3. Biomarkers for post-transplant monitoring. -
Longzhi Tan
Assistant Professor of Neurobiology
Current Research and Scholarly InterestsThe Tan Lab studies the single-cell 3D genome architectural basis of neurodevelopment and aging by developing the next generation of in vivo multi-omic assays and algorithms, and applying them to the human and mouse cerebellum.
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Marilyn Tan
Clinical Professor, Medicine - Endocrinology, Gerontology, & Metabolism
Current Research and Scholarly InterestsType 2 diabetes, obesity, insulin resistance
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Miranda Tan, DO
Clinical Associate Professor, Psychiatry and Behavioral Sciences - Sleep Medicine
BioDr. Tan is a board-certified sleep medicine physician with the Sleep Medicine Center at Stanford Health Care. She is also a clinical associate professor in the Department of Psychiatry and Behavioral Sciences at Stanford University School of Medicine.
Dr. Tan specializes in diagnosing and treating common and rare sleep disorders. Her multidisciplinary approach to care is focused on improving patients’ quality of life and long-term health. Dr. Tan is fellowship-trained and board-certified in sleep medicine, pulmonary medicine, and critical care medicine.
Some of Dr. Tan’s research has focused on improving the understanding of fatigue and sleep disorders in cancer patients and survivors. Her work has also highlighted the positive potential of artificial intelligence and machine learning to enhance diagnostic methods for sleep disorders.
Dr. Tan has published her work in numerous prestigious peer-reviewed journals, including the American Journal of Respiratory and Critical Care Medicine, Chest, and the Journal of Clinical Sleep Medicine. She has also been an invited guest speaker and moderator at national meetings, including those for the American College of Chest Physicians and the American Academy of Sleep Medicine.
Dr. Tan is a fellow of the American College of Chest Physicians and a member of the American Academy of Sleep Medicine and the American Thoracic Society. -
Yuqi Tan
Instructor, Microbiology and Immunology - Baxter Laboratory
Postdoctoral Scholar, Microbiology and ImmunologyBioDr. Tan is a computational biologist developing innovative tools to quantify cell identity, enhance stem cell engineering, and dissect cancer heterogeneity. During her Ph.D., she specialized in computational and quantitative analysis of single-cell RNA sequencing (scRNA-seq) data, contributing to multiple high-impact publications. As a postdoctoral researcher, she has advanced the integration of single-cell omics with multiplexed imaging to decode high-dimensional tissue architecture in cancer and psychiatric diseases. Her long-term vision is to leverage multi-omics and develop machine learning techniques for both 2D and 3D analysis to uncover how diverse cell types and their interactions shape development, aging, and disease.
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Pedro Tanaka
Clinical Professor, Anesthesiology, Perioperative and Pain Medicine
BioPedro Tanaka is a Clinical Professor in the Department of Anesthesia at Stanford University Medical School. He is Brazilian and completed medical school, anesthesiology training, and his PhD in clinical investigation in Brazil. He graduated from the Master of Academic Medicine program at the University of Southern California in 2014 and completed a doctoral program in education at the University of Illinois at Chicago in 2021. At Stanford, he has been involved with resident education as an Associate Program Director and served as the inaugural Vice-Chair for Diversity, Equity, and Inclusion in the Department of Anesthesiology. He currently serves as an Associate Designated Institutional Official for Graduate Medical Education and Associate Dean for Academic Affairs. He is also thrilled to be an Assistant Director with COACHME. Leveraging a rich foundation in Medicine, Education, Leadership, and Executive Coaching, He offers a unique blend of methodologies designed to empower faculty members on their journey of self-discovery within the academic environment. His approach is tailored to assist clinician-educators in mastering the challenges of their roles, enhancing their educational impact, and advancing their careers in academic medicine.
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Molly Tanenbaum
Clinical Associate Professor, Medicine - Endocrinology, Gerontology, & Metabolism
Clinical Associate Professor (By courtesy), Pediatrics - EndocrinologyBioDr. Tanenbaum is a clinical psychologist and clinical researcher committed to improving health and quality of life outcomes for people with diabetes. Dr. Tanenbaum’s research focuses on two main areas: 1) understanding and optimizing the role of technology (e.g. mobile technology/mHealth, diabetes devices, automated insulin delivery), and the feedback technology provides, to improve diabetes management; and 2) understanding the emotional experience of living with diabetes. Her recent work focused on developing a telehealth-based behavioral intervention for adults with type 1 diabetes to support adoption and sustained use of continuous glucose monitoring technology. She has expertise in using qualitative and mixed methods to take a human centered approach to understanding the context of living with and managing a chronic condition. Dr. Tanenbaum also has an interest in compassion-based approaches to addressing diabetes distress. As a licensed clinical psychologist, Dr. Tanenbaum provides consultation and behavioral medicine interventions with people living with diabetes.
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Hua Tang
Professor of Genetics and, by courtesy, of Statistics
Current Research and Scholarly InterestsDevelop statistical and computational methods for population genomics analyses; modeling human evolutionary history; genetic association studies in admixed populations.
