School of Medicine
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Marlen Pajcini
Clinical Assistant Professor, Radiology
BioDr. 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.
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Neda Pakdaman
Clinical Assistant Professor, Medicine - Primary Care and Population Health
BioDr. 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 -
Julia Palacios
Associate Professor of Statistics, of Biomedical Data Science and, by courtesy, of Biology
BioDr. 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.
