Stanford University
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David Hills
Associate Professor (Teaching) of Philosophy
BioI did my undergraduate work at Amherst and went on to graduate school at Princeton. Since then I've taught at Harvard, UCLA, The University of Pennsylvania, The University of Michigan, Berkeley, and Stanford. I resumed my graduate career a little while back -- from a distance, as it were -- receiving the PhD in 2005.
I'm married to another philosopher, Krista Lawlor.
My interests continue to center in aesthetics, but they have spilled over into pretty much every branch of philosophy at one time or another.
Wittgenstein, Culture and Value, 34: Im Rennen der Philosophie gewinnt, wer am langsamsten laufen kann. Oder: der, der das Ziel zuletzt erreicht. (In philosophy the race is to the one who can run slowest — the one who crosses the finish line last.) I'm not sure I believe this, but it's a comforting thing to read. -
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. -
Nadeem Hussain
Associate Professor of Philosophy and, by courtesy, of German Studies
BioI received my B.S. in Symbolic Systems from Stanford University in 1990. I then went to the Department of Philosophy at The University of Michigan, Ann Arbor. I completed a Ph.D. there in 1999. I also spent the academic year of 1998-99 at Universität Bielefeld in Germany. I have been teaching at Stanford since 2000.
