School of Medicine
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Clinical Instructor, Radiology
Bio Dr. Pajcini studied Molecular and Cell Biology as an undergraduate at U.C. Berkeley. He received his medical degree from Loma Linda University School of Medicine. He completed Diagnostic Radiology residency at Santa Clara Valley Medical Center and a Breast Imaging fellowship at Stanford University School of Medicine. His clinical focus is on breast cancer screening, diagnosis, and treatment.
Adjunct Clinical Assistant Professor, Medicine - Primary Care and Population Health
Bio Dr. Pakdaman practices Internal Medicine in Silicon Valley. 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. She subsequently served as the Medical Director of Stanford Concierge Medicine and Stanford Executive Health for five years where she helped pilot aspects of Stanford Precision Health platform.
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, 2018
Assistant Professor of Statistics and of Biomedical Data Science
Bio Dr. Palacios seek to provide statistically rigorous answers to concrete, data driven questions in evolutionary genetics and public health . My research involves probabilistic modeling of evolutionary forces and the development of computationally tractable methods that are applicable to big data problems. Past and current research relies heavily on the theory of stochastic processes, Bayesian nonparametrics and recent developments in machine learning and statistical theory for big data.
Latha Palaniappan, MD, MS
Professor of Medicine (Primary Care and Population Health) and, by courtesy, of Epidemiology and Population Health at the Stanford University Medical Center
Current Research and Scholarly Interests Dr. Palaniappan has published over 200 peer reviewed manuscripts, abstracts, and book chapters over the last 20 years in the areas of chronic disease prevention and treatment in diverse populations. She has expertise in epidemiological research using big data, use of electronic health records for research, and clinical trials.
Daniel Palanker, PhD
Director of HEPL, Professor of Ophthalmology and, by courtesy, of Electrical Engineering
Current Research and Scholarly Interests Interactions of electric field and light with biological cells and tissues and their applications to imaging, diagnostics, therapeutics and prosthetics, primarily in ophthalmology.
Specific fields of interest:
Electronic retinal prosthesis;
Electronic enhancement of tear secretion;
Electronic control of blood vessels;
Non-damaging retinal laser therapy;
Ultrafast laser surgery;
Interferometric imaging of neural signals;
Cell transplantation and retinal plasticity.
Associate Professor of Psychiatry and Behavioral Sciences (Public Mental Health and Population Sciences) at the Stanford University Medical Center
Current Research and Scholarly Interests Research focused on developing interventions for management of side effects of cancer treatments (e.g., sleep disturbance, fatigue, depression, anxiety).
Jonathan P. Palma
Clinical Professor, Medicine - Biomedical Informatics Research
Current Research and Scholarly Interests Interventional informatics to achieve examples of a learning healthcare system; optimization of commercial EMRs to support complex clinical workflows in newborn intensive care; clinical decision support; real-time clinical dashboards; electronic sign-out tools; IT-supported patient/family communication.