Stanford University
Showing 831-840 of 2,653 Results
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Qi Hu
Postdoctoral Scholar, Energy Science and Engineering
BioI am a postdoctoral scholar collaborating with Tapan Mukerji on developing innovative workflows for monitoring subsurface CO2 sequestration. My research primarily involves integrating advanced seismic inversion techniques, such as full-waveform inversion, with rock physics and fluid dynamics to glean insights into subsurface structures and behaviors. Additionally, I am intrigued by the potential of distributed acoustic sensing and machine learning algorithms in various topics related to energy transition.
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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.
