Stanford University
Showing 581-600 of 2,676 Results
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Mariya Mardamshina
Postdoctoral Scholar, Bioengineering
BioMariya Mardamshina, MD, PhD, is a postdoctoral fellow in the Department of Bioengineering, working in Prof. Emma Lundberg's lab. She earned her medical degree from Semey State Medical University and completed her PhD at Tel Aviv University, where her research focused on spatial inter- and intratumoral heterogeneity in breast cancer using mass spectrometry-based proteomics. Currently, her work in the Lundberg lab centers on deciphering cell-to-cell proteomic variability within a spatial framework. Her research involves developing integrated pipelines that combine automated multiplexed staining, high-resolution microscopy, artificial intelligence, and ultra-high sensitivity mass spectrometry to achieve comprehensive proteomic analyses.
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Peter Margolis, MD, PhD
Adjunct Professor, Pediatrics - General Pediatrics
BioPeter Margolis, MD, PhD, is Adjunct Professor of Pediatrics at Stanford University School of Medicine, Emeritus Professor of Pediatrics at the University of Cincinnati School of Medicine, and former Co-Director of the James M. Anderson Center for Health Systems Excellence at Cincinnati Children’s Hospital Medical Center. His work encompasses the application and study of systems improvement methods across a broad range of areas, including primary and sub-specialty care, communities, and public health settings to improve the health outcomes of children, families, and communities. Over the last 20 years, he and his research team have developed innovative approaches that engage patients, their families, clinicians, scientists, and communities in developing network-based learning health systems that simultaneously improve care, spawn innovation, and accelerate research. This work has repeatedly demonstrated significant impact on the process and outcomes of care. Dr. Margolis has extensive experience in large-scale comparative effectiveness research, the creation of large-scale interoperable data systems, managing large project teams, and engaging individuals from diverse backgrounds to co-produce improved care and research. He served as Chair of the PCORnet Council, guiding the Patient-Centered Outcomes Research Institute’s investment in transforming research infrastructure in the US. The ImproveCareNow Network, which he leads, was awarded the Drucker Prize, the largest non-profit management and innovation award in the US. Dr. Margolis is an elected member of the National Academy of Medicine.
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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.
