Stanford University
Showing 591-600 of 2,676 Results
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Samuel Margolis
Graduate, Medicine, School of Medicine
BioSamuel Margolis is a physician-in-training and computer scientist whose work focuses on biomedical AI, software development, and translation of emerging technologies into clinical applications. He is the founder and lead maintainer of OpenScribe, an open-source clinical software initiative supported by grant funding and with contributors from NewYork-Presbyterian, and other institutions. He previously founded and sold a technology company and has worked on digital health and healthcare technology strategy at Gates Ventures and McKinsey & Company. His research spans clinical AI evaluation, deep learning, biomedical sensing, and imaging, with publications in journals including Science Advances, Nature Communications, Advanced Science, and npj Digital Medicine.
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Edward R. Mariano, MD, MAS, FASA, FASRA
Professor of Anesthesiology, Perioperative and Pain Medicine (MSD)
Current Research and Scholarly InterestsMy clinical research interests include the development of techniques and patient care pathways to improve postoperative pain control and other surgical outcomes. I am particularly interested in using regional anesthesiology, the science and practice of modulating nerve transmission in the central neuraxis or within peripheral nerves, to produce target-specific and opioid-sparing pain relief and enhance recovery after surgery or injury.
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Ivana Maric
Assistant Professor (Research) of Pediatrics (Neonatology)
BioIvana Maric is an Assistant Professor in the Pediatrics Department at the Stanford University School of Medicine. Her research focuses on applying machine learning to improving maternal and neonatal health. Her main focus has been on developing machine learning models for early prediction of adverse outcomes of pregnancy from omics and electronic health records data, that could guide development of low-cost, point of care diagnostic tools. Her main interest is in solutions that are applicable worldwide and especially in low-resource settings. Previously, her research focused on information theory, a mathematical discipline tightly related to statistics and machine learning. She is a recipient of the 2021 Rosenkranz Prize awarded for innovative work to improve health in low- or middle-income countries. She is also a recipient of the 2026 WSPR Best Global Health Abstract Award, 2025 McCormick Faculty Award, the 2025 Reckitt/Mead Johnson Junior Faculty Award from the Western Society for Pediatric Research (WSPR), and the co-recipient of the 2013 IEEE Communications Society Best Tutorial Paper Award. She received BS degree from the University of Novi Sad, Serbia, MS and PhD at Rutgers University and postdoctoral training at Stanford University.
