Stanford University
Showing 401-500 of 2,891 Results
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Alison Grace Laurence
COLLEGE Lecturer
BioAlison Laurence is a Lecturer in Civic, Liberal, and Global Education. She received her PhD from MIT’s interdisciplinary program in History, Anthropology, and Science, Technology, and Society (HASTS) in 2019. A cultural and environmental historian, she specializes in the historical study of nature on display, non-human animals, deep time, and extinction. Her current book manuscript--Of Dinosaurs and Culture Wars: A Monumental Reckoning with Modern American Monsters--traces how popular displays transformed dinosaurs and other creatures of deep time from scientific specimens to consumer objects and artifacts of everyday American life. Alison has published her research in Museum & Society, Notes & Records: The Royal Society Journal of the History of Science, and the Science Museum Group Journal. She holds a BA in Classics from Brown University and an MA in History and Public History from the University of New Orleans.
At Stanford, Alison has taught special topics courses like "Animal Archives: History Beyond the Human" and a variety of courses within the first-year liberal education requirement, including: "Stories Everywhere," "100,000 Years of War," "Design That Understands Us," and "The Meat We Eat." During the 2022-2023 academic year, she is teaching "Why College?: Your Education and the Good Life," "Citizenship in the 21st Century," and "Preventing Human Extinction." -
Eloi Laurent
Overseas Studies - Paris, Bing Overseas Studies
BioDr. Éloi Laurent is a senior economist at OFCE, professor at Ponts Paris Tech, at the Paris School of International Affairs (PSIA) at Sciences Po and visiting professor at Stanford University. Macro-economist by training (PhD), he graduated from Paris-Dauphine and Sciences Po (summa cum laude).
His work focuses on the relationship between well-being and sustainability through the social-ecological approach, in particular the exploration of the sustainability-justice nexus (just transitions) and planetary health-human health nexus (“full health nexus”).
He is the author or editor of twenty books in French and English (translated into nine languages), three governmental reports and around a hundred articles published in French and international journals.
He was parliamentary attaché to the National Assembly and assistant in the cabinet of the French Prime Minister. He has been a Visiting Scholar at New York University (NYU) and Columbia University, Visiting Professor at the University of Montreal, and Visiting Scholar and Professor at Harvard University.
He is Research Fellow at the Well-being Economy Alliance (WeALL), qualified expert for European institutions and chairman of the SHS 5 (economics and law) and Foresight (sustainable development) Commissions of the Scientific Research Fund, FRS- FNRS (Belgium).
He recently published:
- The New Environmental Economics – Sustainability and Justice (2020) https://politybooks.com/the-new-environmental-economics/
- The Well-being Transition: Analysis and Policy (2021) https://www.palgrave.com/gp/book/9783030678593,
- the Routledge Handbook of the Political Economy of the Environment (2021) https://www.routledge.com/The-Routledge-Handbook-of-the-Political-Economy-of-the-Environment/Laurent-Zwickl/p/book/9780367410704
- Toward Social-Ecological Well-Being - Rethinking Sustainability Economics for the 21st Century (2023) https://link.springer.com/book/10.1007/978-3-031-38989-4 -
Philip W. Lavori
Professor of Biomedical Data Science, Emeritus
Current Research and Scholarly InterestsBiostatistics, clinical trials, longitudinal studies, casual inference from observational studies, genetic tissue banking, informed consent. Trial designs for dynamic (adaptive) treatment regimes, psychiatric research, cancer.
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Charlotte Law
Technology Intern, School of Medicine - Post Grad Med Education (CME)
Current Role at Stanford2024 Summer | Technology Intern at Stanford University School of Medicine (CME)
2022 Summer | Bioengineering Intern at Stanford Institutes of Medicine Summer Research (SIMR) -
Kincho Law
Professor of Civil and Environmental Engineering
BioProf. Law’s professional and research interests focus on the application of computational and information science in engineering. His work has dealt with various aspects of computational mechanics and structural dynamics, AI and machine learning, large scale database management, Internet and cloud computing, numerical methods and high performance computing. His research application areas include computer aided engineering, legal and engineering informatics, engineering enterprise integration, web services and supply chain management, monitoring and control of engineering systems, smart infrastructures, and smart manufacturing.
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Shelby Scott Lazarow, Psy.D.
Clinical Assistant Professor, Psychiatry and Behavioral Sciences
BioDr. Lazarow is a licensed psychologist who specializes in providing clinical care for individuals and couples dealing with acute and chronic medical conditions. She received her doctorate in Clinical Psychology from the PGSP-Stanford Psy.D. Consortium and completed her clinical internship and postdoctoral fellowship at California Pacific Medical Center in the Health Psychology track. Dr. Lazarow is currently serving patients of the Neuropsychiatry Clinic at Stanford University's School of Medicine. In addition to providing individual and couples therapy, Dr. Lazarow has created multiple therapy groups specifically designed for individuals dealing with neurological conditions.
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Laura C. Lazzeroni, Ph.D.
Professor (Research) of Psychiatry and Behavioral Sciences and, by courtesy, of Biomedical Data Science
Current Research and Scholarly InterestsStatistics/Data Science. I develop & apply models, methods & algorithms for complex data in medical science & biology. I am also interested in the interplay between fundamental statistical properties (e.g. variability, bias, p-values) & how scientists actually use & interpret data. My work in statistical genetics includes: the invention of Plaid bi-clustering for gene expression data; methods for twin, association, & family studies; multiple testing & estimation for high dimensional arrays.
