School of Medicine
Showing 161-170 of 390 Results
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Dorien Feyaerts
Instructor, Anesthesiology, Perioperative and Pain Medicine
Current Research and Scholarly InterestsBiomedical scientist and immunologist with a strong background in fetal-maternal immunology that aims to conduct impactful translational research in women’s health to improve the health of mothers and their children.
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Priya Fielding-Singh
Postdoctoral Scholar, SCRDP/ Heart Disease Prevention
BioI am a Sociologist and Postdoctoral Fellow in Cardiovascular Disease Prevention at the Stanford Prevention Research Center. My research examines health, gender, and social inequality.
My primary research agenda investigates health disparities across class, race, and gender in the United States. I draw on both qualitative and quantitative methods to understand how neighborhoods, schools, and families shape our health behaviors and outcomes. My work has been published in journals such as Social Science & Medicine, Obesity, Sociological Science, and the Journal of Adolescent Health.
I hold a Ph.D. in Sociology from Stanford University, a M.A. in Anthropology from the University of Bremen, and a B.S. in Education and Social Policy from Northwestern University. -
Vikram Fielding-Singh
Clinical Assistant Professor, Anesthesiology, Perioperative and Pain Medicine
Masters Student in Epidemiology and Clinical Research, admitted Autumn 2024BioDr. Vikram Fielding-Singh is a Clinical Assistant Professor in the Department of Anesthesiology, Perioperative and Pain Medicine at Stanford University. He obtained his medical degree from Stanford University and completed residency training at the University of California, San Francisco. He then pursued dual cardiac anesthesia and critical care training at the University of California, Los Angeles. He holds a juris doctorate from Yale Law School. Dr. Fielding-Singh’s research interests include improving perioperative care of patients with end stage kidney disease, using biomarkers to aid early diagnosis of acute kidney injury, and evaluating the performance of risk prediction models in perioperative medicine.
