School of Humanities and Sciences
Showing 1-10 of 26 Results
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Claire Augusta Bergey
Postdoctoral Scholar, Linguistics
BioClaire Augusta Bergey researches how people understand each other's communicative intent and how children expand the types of meaning they can convey and interpret over development. She uses naturalistic observation, corpus analysis, computational modeling, and controlled lab experiments to examine adults' and children's communicative abilities.
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Jennifer Chien
Postdoctoral Scholar, Philosophy
BioJennifer Chien earned a Ph.D. in Computer Science from the University of California, San Diego, and a bachelor's degree in Computer Science from Wellesley College. They were a recipient of the Graduate Fellowship for STEM Diversity. Jennifer is an interdisciplinary researcher focused on preserving user agency across AI/ML pipelines by linking technical decisions with their social consequences. Their work connects technical decisions with social and societal consequences to characterize, measure, and mitigate disparities in autonomy and support safer, more responsible AI. This includes exploring instrumental, cognitive and affective, and epistemic forms of agency. At UCSD, they served as President of Graduate Women in Computing, leading mentorship, outreach, and community-building initiatives and received the Doctoral Awards for Contributions to Diversity and to Service and Leadership, as well as the Xilinx Women in Technology University Grant. Jennifer is currently an Embedded Ethics Fellow in partnership with HAI and the Computer Science department.
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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. -
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.
