School of Medicine
Showing 11-20 of 58 Results
Clinical Professor, Medicine - Endocrinology, Gerontology, & Metabolism
Bio Dr. Sellmeyer is an internationally recognized expert in Metabolic Bone Disease. She is a renowned clinician who joined the Stanford faculty in 2018 as a Professor of Medicine. She has been recognized for her clinical excellence with induction into the Miller Coulson Academy of Clinical Excellence while she was at Johns Hopkins. In addition to her clinical expertise, Dr. Sellmeyer maintains a research program that centers on the effect of nutrition and environmental factors on skeletal metabolism which she has investigated through both smaller CRC-based trials and large multi-center trials. Studies she has conducted have investigated the role of dietary sodium chloride, source of dietary protein (animal, vegetable, dairy, soy), role of dietary potassium and alkaline potassium salts, targeted thoracic exercises on kyphosis, whether structured exercise can prevent bone loss in premenopausal women treated for breast cancer, and studies validating nutritional assessment questionnaires. Her expertise as a clinical researcher has enabled development of a multi-disciplinary translational research team including basic scientists in the orthopedic department, junior faculty members with K grant funding, and basic scientists in the endocrine division to develop translational projects studying the effects of osteoporosis medications on basic elements of skeletal biology utilizing bone biopsies from treated individuals as well as clinical trials of novel therapies for rare bone disorders. Dr. Sellmeyer also is a esteemed educator, having received multiple teaching awards.
Jose Seoane Fernandez
Instructor, Stanford Cancer Institute
Bio Throughout my doctoral training, I focused on methods development and application for bioinformatics and machine learning approaches. During my postdoctoral training I contributed to the development of machine learning based approaches and applied them to cardiovascular and cancer genetic data. My current interest are in the development of methods to investigate how different layers of (epi)genomic data can be integrated in order to establish a holistic view of the molecular mechanisms underlying cancer initiation, progression and drug resistance.
Nigam H. Shah, MBBS, PhD
Professor of Medicine (Biomedical Informatics) and of Biomedical Data Science
Current Research and Scholarly Interests My research group studies ontology-based approaches to annotate, index, integrate and analyze unstructured information available in biomedicine for the purpose of enabling data-driven analytics in medicine and health care.
Clinical Assistant Professor, Medicine - Oncology
Bio Dr. Sumit Shah specializes in the management of advanced urologic malignancies such as prostate, kidney, bladder, and testicular cancers. He also serves as an investigator on numerous clinical trials, with a focus on novel immunotherapy agents. His academic interests also include digital health technologies and novel healthcare delivery services, both in the domestic and international setting. Dr. Shah graduated with distinction in biomedical engineering from Duke University, received his medical doctorate from Stanford University, and Masters in Public Health from Harvard University. He completed his internal medicine residency at the University of California, San Francisco (UCSF) where he stayed on faculty for one year before returning to Stanford for his fellowship training in medical oncology, where he now serves on the faculty.
Andrew A. Shelton, MD, FACS, FACRS
Clinical Professor, Surgery - General Surgery
Current Research and Scholarly Interests Multimodality treatment of rectal cancer
Sphincter preserving procedures for rectal cancer
Laparoscopic colon and rectal surgery
Assistant Professor of Pathology at the Stanford University Medical Center
Current Research and Scholarly Interests Gastrointestinal and pancreatobiliary pathology, with major emphasis on GI and pancreatic neoplasia, inflammatory bowel disease, biodesign innovation, and the application of machine learning to digital pathology.
Associate Professor of Genetics
Current Research and Scholarly Interests Evolution and the adaptive landscape using yeast as a model; Defining yeast transcriptomes; chromosomal evolution in hybrid yeast species