Stanford University
Showing 3,171-3,180 of 7,899 Results
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Mark Z. Jacobson
Professor of Civil and Environmental Engineering and Senior Fellow at the Woods Institute for the Environment and at the Precourt Institute for Energy
BioMark Z. Jacobson’s career has focused on better understanding air pollution and global warming problems and developing large-scale clean, renewable energy solutions to them. Toward that end, he has developed and applied three-dimensional atmosphere-biosphere-ocean computer models and solvers to simulate air pollution, weather, climate, and renewable energy. He has also developed roadmaps to transition states and countries to 100% clean, renewable energy for all purposes and computer models to examine grid stability in the presence of high penetrations of renewable energy.
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Prasanna Jagannathan
Associate Professor of Medicine (Infectious Diseases) and of Microbiology and Immunology
Current Research and Scholarly InterestsWe study innate immunity and immune regulation of Plasmodium Falciparum malaria in children and pregnant women. Our work focuses on understanding how malaria shapes the immune state in individuals following repeated exposure. We are also testing novel interventions to enhance protective immunity against malaria in children via large, randomized controlled trials. Our work in malaria has been based in Eastern Uganda, where malaria transmission is among the highest in the world.
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Abhi Jain
Clinical Assistant Professor, Radiology
BioDr. Jain is a neuroradiologist and a Certified Imaging Informatics Professional (CIIP) whose academic work bridges day-to-day neuroradiology practice with imaging informatics and clinically grounded artificial intelligence (AI).
His clinical research interests include quantitative imaging and radiomics in cerebrovascular disease, with particular emphasis on intracerebral hemorrhage (ICH), and imaging biomarkers in the aging brain and neurodegeneration, including limbic-predominant age-related TDP-43 encephalopathy (LATE).
His AI/informatics and quality-improvement interests include large language models (LLMs) for radiology reporting support and clinical decision support, with an emphasis on real-world evaluation and workflow integration.
His education interests focus on modern, technology-enabled neuroradiology teaching, including tailored language models and extended reality (XR; augmented/virtual/mixed reality) approaches to strengthen trainee learning.
