School of Humanities and Sciences
Showing 101-200 of 421 Results
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Yahui He
Postdoctoral Scholar, Archaeology
BioYahui He is an environmental archaeologist specializing in archaeobotany in East Asia. Her research investigates the dynamics of human-plant relationships in multi-scalar socio-political contexts, focusing on the materiality of plants in processes of sedentism and urbanism.
Her PhD and ongoing research work in the Northern Zone, China (northern Loess Plateau and southern Mongolian Plateau) utilizes multi-proxy methods, including starch, phytolith, fungi, and use-wear analyses, to explore plant-based food and drink practices across different social contexts, such as household, community, and mortuary settings. Yahui’s collaborative research extends to studies on plant exploitation and dispersal, as well as related technologies such as plant food fermentation and bast fiber production across mainland China and beyond, including Erlitou in Henan and others in Taiwan and Honduras.
Prior to joining the Stanford Archaeology Center as a postdoctoral scholar, Yahui obtained her PhD at Stanford in 2024 and was a Li Foundation Fellow at the Needham Research Institute in Cambridge, UK in 2024 (Jan.-June). -
Laura Heath-Stout
Postdoctoral Scholar, Archaeology
BioI am an intersectional feminist archaeologist and activist. I use qualitative and quantitative social science methods to study the demographics and knowledge production practices of archaeologists. I am currently starting a new community-driven project about the history of institutions for people with disabilities in Massachusetts.
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Wendy Herbst
Postdoctoral Scholar, Biology
BioNeuroscience Postdoc in Kang Shen Lab, Department of Biology
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Suleiman Hodali
Postdoctoral Scholar, Comparative Literature
BioSuleiman Hodali received a PhD in comparative literature from UCLA. He is a Postdoctoral Scholar in Comparative Literature at Stanford University, and was previously a 2025-26 UC President's Postdoctoral Fellow at UC Riverside.
His research and teaching are situated at the intersections of several different fields, including eighteenth and nineteenth century studies, British Romanticism, translation theory, modern Arabic literature and culture, literary and critical theory, the history of ideas, colonial and postcolonial theory and criticism.
Recent and forthcoming writings appear in such publications as Studies in Romanticism, South Atlantic Quarterly, Political Concepts: A Critical Lexicon, and Ebb Magazine.
He is presently completing his first book project, titled, New Jerusalems and Modern Crusades: Holy Lands in the Imaginative Geography of Empire. -
Zainab Hosseini
Postdoctoral Scholar, Psychology
Current Research and Scholarly InterestsCulturally - contextually responsive psychosocial support services for refugees
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Wanheng Hu
Postdoctoral Scholar, Philosophy
BioWanheng Hu is a scholar of Science and Technology Studies (STS) whose research examines the epistemic, ethical, and regulatory dimensions of artificial intelligence, with a particular focus on machine learning in medicine. His current book project, Reassembling Expertise: Credible Knowledge and Machine Learning in Medical Imaging, is an ethnographic study of the Chinese medical AI industry. Drawing on multi-sited fieldwork, the project analyzes how, and in what sense, human medical expertise is translated into AI systems and how the credibility of these systems is negotiated across industrial, clinical, and regulatory settings. His broader scholarship engages the social studies of science, medicine, and technology; the sociology of expertise; critical data and algorithm studies; media studies; and public engagement with science.
Wanheng is currently an Embedded Ethics Fellow at Stanford University’s McCoy Family Center for Ethics in Society, in partnership with the Institute for Human-Centered Artificial Intelligence (HAI) and the Department of Computer Science. He is also an affiliate of the Data & Society Research Institute, a member of the Schwartz Reisman Institute’s AI & Trust Working Group at the University of Toronto, and a member of Cornell University’s Artificial Intelligence, Policy, and Practice (AIPP) initiative. He was previously a Fellow at Harvard Kennedy School’s Program on Science, Technology and Society (2022–23). He holds a Ph.D. in STS with a minor in Media Studies from Cornell University. His research has been supported by the U.S. National Science Foundation, the China Times Cultural Foundation, and Cornell’s Hu Shih Fellowship, among other sources, and has appeared in venues including Public Understanding of Science and The Oxford Handbook of the Sociology of Machine Learning. -
Brice Huang
Postdoctoral Scholar, Statistics
BioBrice Huang is a Stanford Science Fellow and NSF postdoctoral fellow in the Department of Statistics, hosted by Andrea Montanari. He received his PhD in Electrical Engineering and Computer Science at MIT advised by Guy Bresler and Nike Sun.
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Aurora Ireland
Postdoctoral Scholar, Physics
BioAurora Ireland is broadly interested in early universe cosmology and high energy particle theory. She completed her PhD at the University of Chicago in 2024. Prior in 2018, she obtained a masters degree from the Perimeter Institute for Theoretical Physics.
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Aditi Jha
Postdoctoral Scholar, Statistics
BioI am a computational neuroscientist, working at the intersection of machine learning and systems neuroscience.
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Elif Gediz Kocaoglan
Postdoctoral Scholar, Biology
BioGediz completed her PhD in Bioengineering from Imperial College London. She specialized in plant synthetic biology, developed molecular tools and used regeneration as a model development process to test the functionality of these tools. She is currently a postdoctoral researcher in the Dinneny Lab, where she explores the form-function relationship of the root epidermis and investigates how plants adapt to environmental stress. By integrating biodiversity with synthetic biology approaches, her work aims to uncover design constraints for developing climate-resilient plants.
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Christina Langer
Postdoctoral Scholar, Economics
BioChristina Langer is a Postdoc at the Stanford Digital Economy Lab, part of the Stanford Institute for Human-Centered AI. Her research interests cover the fields of empirical labor economics and economics of education with a focus on the future of work.
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Paul Lendway
Postdoctoral Scholar, Political Science
BioThe norms and rules that comprise American democracy are eroding. Why? What are the consequences of this trend? And what can be done to address this issue? My research program aims to address these questions. One stream of my research investigates how various forms of political communication (i.e., sermon rhetoric, populist appeals, etc.) shape political preferences. Another strand of my research probes the role of information (i.e., information about social movements or inequality) in structuring public opinion and policy preferences. A final line of my research explores solutions to mass polarization. This includes a project that tests Americans' willingness to compromise on a series of multi-dimensional policy tradeoffs (i.e., a conservative immigration policy and a liberal abortion policy, etc.).
My research is published in Political Behavior, American Politics Research, the Journal of Conflict Resolution, and Environmental Politics. My co-authored paper that meta-analyzes the literature on populist appeals and vote choice has a R&R at the American Journal of Political Science. Additionally, my research on sermon rhetoric and White evangelical support for the Republican Party has an R&R at Political Behavior. I have presented my research at a wide range of organizations, including the American Political Science Association, Harvard University, Princeton University, and Yale University. Funding for my research has been provided by the University of Pennsylvania, Yale University, and other organizations. -
Warren Li
Postdoctoral Scholar, Mathematics
BioHello! I am a Stanford Science Fellow working in the Mathematics department. I am interested in the theory of nonlinear wave equations of mathematical physics, including the Einstein equations of General Relativity, the equations of gas mechanics, and related models. In particular, my research concerns a detailed understanding of "singularity formation" for such models, where energy is concentrated and interacts in such a way that the models, in some sense, break down. My focus is on understanding exactly how such a breakdown occurs and the physical implications.
