Stanford University
Showing 821-830 of 1,604 Results
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Holly Alpine
Affiliate, Ethics In Society
BioHolly Alpine is an environmental leader with more than a decade of experience mobilizing employees and shaping climate advocacy inside the tech sector. She co-founded the Enabled Emissions Campaign, which holds Big Tech companies accountable for using advanced technologies to help fossil fuel companies extract oil and gas more cheaply and efficiently. Before launching this advocacy campaign, Holly co-founded and scaled Microsoft’s global employee sustainability network to 10,000+ members. She also founded the company’s Community Environmental Sustainability program, which established corporate policy for investing in sustainability projects in datacenter communities worldwide. Holly played a central role in strengthening Microsoft’s climate commitments by creating direct channels between employees and senior leadership and elevating climate advocacy as a shared responsibility across the company. She also has served on the boards of American Forests and Zero Waste Washington, and is an accomplished plant-based mountain athlete.
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Leina Alrabadi
Clinical Associate Professor, Pediatrics - Gastroenterology
BioI enjoy working with a multidisciplinary team to care for patients who have complex medical needs with the aim of giving children a better future. As a clinical researcher, my main focus is on finding improved therapies for autoimmune and cholestatic liver diseases, since an ideal therapy currently does not exist.
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Burak Alsan, MD
Clinical Assistant Professor, Medicine - Primary Care and Population Health
Current Research and Scholarly InterestsPilot Study on the Use of Televisits for Transition Education for Young Adults with Chronic Disease
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Emily Alsentzer
Assistant Professor of Biomedical Data Science, of Medicine (Biomedical Informatics Research) and, by courtesy, of Computer Science
BioDr. Emily Alsentzer is an Assistant Professor in Biomedical Data Science and, by courtesy, Computer Science at Stanford University. Her research leverages machine learning (ML) and natural language processing (NLP) to augment clinical decision-making and broaden access to high quality healthcare. She focuses on integrating medical expertise into ML models to ensure responsible deployment in clinical workflows. Dr. Alsentzer completed a postdoctoral fellowship at Brigham and Women’s Hospital where she worked to deploy ML models within the Mass General Brigham healthcare system. She received her PhD from the Health Sciences and Technology program at MIT and Harvard Medical School and holds degrees in computer science (BS) and biomedical informatics (MS) from Stanford University. She has served as General Chair for the Machine Learning for Health Symposium and founding organizer for SAIL and the Conference on Health, Inference, and Learning (CHIL).
