School of Medicine
Showing 11,041-11,060 of 12,906 Results
-
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.
-
Marilyn Tan
Clinical Professor, Medicine - Endocrinology, Gerontology, & Metabolism
Current Research and Scholarly InterestsType 2 diabetes, obesity, insulin resistance
-
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. -
Simon Tan, PsyD, ABPP
Clinical Associate Professor (Affiliated), Adult Neurology
BioSimon Tan, PsyD, ABPP, ABAP, MS is Clinical Assistant Professor (Affiliated) in the Department of Neurology and Neurological Sciences at Stanford University School of Medicine. He is a Diplomate in Clinical Neuropsychology, American Board of Professional Psychology (ABPP) and American Board of Assessment Psychology. He received his bachelor's degree at Dartmouth College, doctorate in clinical psychology from Yeshiva University, and completed a pre-doctoral internship in clinical psychology at the Massachusetts Mental Health Center, Harvard Medical School. Dr. Tan also completed post-doctoral fellowships specializing in clinical neuropsychology in both adult inpatient and outpatient settings at the Behavioral Neurology Unit, Beth Israel Deaconess Medical Center and Cambridge Hospital at Harvard. He later obtained a postdoctoral master of science in clinical psychopharmacology from Alliant International University. Before coming to Stanford, he was a rehabilitation neuropsychologist at NYU Medical Center.
-
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.
