Wanheng Hu is a scholar of Science and Technology Studies (STS) whose research focuses on the epistemic, ethical, and regulatory dimensions of AI. His current book project, Reassembling Expertise: Credible Knowledge and Machine Learning in Medical Imaging, is an ethnographic study of the Chinese medical AI industry. It investigates how human medical expertise is translated into AI systems and how their credibility is negotiated across industry, clinical, and regulatory settings. His broader work spans the social studies of science, medicine, and technology; critical data and algorithm studies; media studies; and public engagement with science. Wanheng is an Embedded Ethics Fellow at Stanford’s McCoy Family Center for Ethics in Society, in partnership with the Institute for Human-Centered Artificial Intelligence (HAI) and the Computer Science Department. He holds a Ph.D. in STS with a minor in Media Studies from Cornell University and is an affiliate of the Data & Society Research Institute.