School of Medicine
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Postdoctoral Medical fellow, Oncology
Current Research and Scholarly Interests Solid Tumor Immunobiology and Immunotherapy
Clinical Assistant Professor, Medicine - General Medical Disciplines
Bio Dr. Pakdaman practices Internal Medicine and is the Medical Director of Stanford Concierge Medicine and Stanford Executive Health. She received her medical education at Yale University School of Medicine where she earned the Janet M. Glasgow Memorial Achievement Award for Women in Medicine. She completed her residency in Internal Medicine at Stanford University Hospital and was nominated for the Alwin Rambar-James Mark Award for Excellence in Patient Care.
Dr. Pakdaman has been involved in developing innovative models for patient centered practice delivery. She has extensive background in Concierge Medicine as well as Executive Medicine. In addition, prior to coming to Stanford, she helped initiate and served as medical director for the Palliative Care inpatient consult service at El Camino Hospital. During that time, she served as chair of the El Camino Hospital Ethics Committee and as an advisory member for the Genomics Medicine Institute at El Camino Hospital. Drawing from her experiences working in both executive health programs and retainer based practices, she joined Stanford in 2012 to help launch Stanford Concierge Medicine.
Dr. Pakdaman's clinical focus is adult primary care with health promotion and disease prevention/management.
Board Certified Internal Medicine 2003, 2013
Board Certified Hospice and Palliative Medicine 2008
Latha Palaniappan, MD, MS
Clinical Professor, Medicine - General Medical Disciplines
Current Research and Scholarly Interests Dr. Palaniappan has completed over 50 studies spanning 15 years in the areas of ethnicity, obesity, and diabetes risk.
Postdoctoral Research fellow, Biomedical Informatics
Bio Dr. Maryam Panahiazar (Mary) was a Postdoctoral Research Associate in Medical Informatics group at the Mayo Clinic College of Medicine. During her appointment at Mayo Clinic she was working on personalized and translational medicine using machine learning and semantic web technology for clinical decision making, response therapy and recommendation engines. She has several years of research experience in machine learning, data mining, biomedical knowledge representation, semantic web and ontology development. She has been a key member in NIH R01 grant on semantics and services enabled problem solving environment, which have pioneered techniques for semantic web in life sciences. Mary ‘s research interest and expertise lies in applying informatics in healthcare and life sciences. She participated in the NIH training program where she worked on semantic similarity and data integration for NLM resources. She also was Research Associate at kno.e.sis center where she worked on data integration, ontology development, semantic annotation and question answering system. She contributed as program committee members of several conferences and reviewer for many journals and conferences.
Alan C. Pao
Assistant Professor of Medicine (Nephrology) at the Palo Alto Veterans Affairs Health Care System
Current Research and Scholarly Interests We are interested in the hormonal and signal transduction pathways that control epithelial ion transport. Our model system involves tight epithelia, typically found in the distal nephron of the kidney. Clinical implications of our work include a better understanding of the pathogenesis of salt-sensitive hypertension and hypertension associated with the insulin resistance syndrome.
Postdoctoral Research fellow, Cardiovascular Medicine
Current Research and Scholarly Interests Describe your current research interest and activities
Walter Park, MD
Assistant Professor of Medicine (Gastroenterology and Hepatology) at the Stanford University Medical Center
Current Research and Scholarly Interests Dr. Park's research interests are in the diagnosis and management of pancreatic cysts, acute and chronic pancreatitis. His approach incorporates methods in health services research including the use of observational datasets, cost-effectiveness studies, and the development of clinical cohorts.