Institute for Human-Centered Artificial Intelligence (HAI)
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Professor of Computer Science, Emeritus
BioProfessor Winograd's focus is on human-computer interaction design and the design of technologies for development. He directs the teaching programs and HCI research in the Stanford Human-Computer Interaction Group, which recently celebrated it's 20th anniversary. He is also a founding faculty member of the Hasso Plattner Institute of Design at Stanford (the "d.school") and on the faculty of the Center on Democracy, Development, and the Rule of Law (CDDRL)
Winograd was a founding member and past president of Computer Professionals for Social Responsibility. He is on a number of journal editorial boards, including Human Computer Interaction, ACM Transactions on Computer Human Interaction, and Informatica. He has advised a number of companies started by his students, including Google. In 2011 he received the ACM SIGCHI Lifetime Research Award.
Assistant Professor of Computer Science
BioJiajun Wu is an Assistant Professor of Computer Science at Stanford University, working on computer vision, machine learning, and computational cognitive science. Before joining Stanford, he was a Visiting Faculty Researcher at Google Research. He received his PhD in Electrical Engineering and Computer Science at Massachusetts Institute of Technology. Wu's research has been recognized through the ACM Doctoral Dissertation Award Honorable Mention, the AAAI/ACM SIGAI Doctoral Dissertation Award, the MIT George M. Sprowls PhD Thesis Award in Artificial Intelligence and Decision-Making, the 2020 Samsung AI Researcher of the Year, the IROS Best Paper Award on Cognitive Robotics, and faculty research awards and graduate fellowships from Samsung, Amazon, Facebook, Nvidia, and Adobe.
Jacob Haimson Professor and Professor, by courtesy, of Electrical Engineering
Current Research and Scholarly Interestsartificial intelligence in medicine, Image-guided intervention, molecular imaging, biologically conformable radiation threapy (BCRT), treatment plan optimization, optimization, application of molecular imaging to radiation oncology.
Assistant Professor of Psychology and of Computer Science
Current Research and Scholarly InterestsOur lab's research lies at intersection of neuroscience, artificial intelligence, psychology and large-scale data analysis. It is founded on two mutually reinforcing hypotheses:
H1. By studying how the brain solves computational challenges, we can learn to build better artificial intelligence algorithms.
H2. Through improving artificial intelligence algorithms, we'll discover better models of how the brain works.
We investigate these hypotheses using techniques from computational modeling and artificial intelligence, high-throughput neurophysiology, functional brain imaging, behavioral psychophysics, and large-scale data analysis.
Clinical Assistant Professor, Medicine - Primary Care and Population Health
BioSeema Yasmin is an Emmy Award-winning journalist, poet, medical doctor and author. Yasmin served as an officer in the Epidemic Intelligence Service at the U.S. Centers for Disease Control and Prevention where she investigated disease outbreaks and was principal investigator on a number of CDC studies. Yasmin trained in journalism at the University of Toronto and in medicine at the University of Cambridge.
Yasmin was a finalist for the Pulitzer Prize in breaking news in 2017 with a team from The Dallas Morning News and recipient of an Emmy for her reporting on neglected diseases. She received two grants from the Pulitzer Center on Crisis Reporting. In 2017, Yasmin was a John S. Knight Fellow in Journalism at Stanford University investigating the spread of health misinformation and disinformation during epidemics. Previously she was a science correspondent at The Dallas Morning News, medical analyst for CNN, and professor of public health at the University of Texas at Dallas.
Her writing has earned awards and residencies from the Mid Atlantic Arts Council, Hedgebrook, the Millay Colony for the Arts and others. Her first book, The Impatient Dr. Lange (Johns Hopkins University Press, July 2018) is the biography of an AIDS doctor killed on Malaysia Airlines flight MH17. Her second book, Debunked! Pseudoscience, Medical Myths and Why They Persist, is forthcoming in November 2019. A major title about women is forthcoming from HarperCollins in 2020.
Yasmin’s unique expertise in medicine, epidemics and journalism has been called upon by The Presidential Commission for the Study of Bioethical Issues, the Aspen Institute, Skoll Foundation and others.
Assistant Professor of Biomedical Data Science and, by courtesy, of Computer Science and of Electrical Engineering
BioDr. Serena Yeung is an Assistant Professor of Biomedical Data Science and, by courtesy, of Computer Science and of Electrical Engineering at Stanford University. Her research focus is on developing artificial intelligence and machine learning algorithms to enable new capabilities in biomedicine and healthcare. She has extensive expertise in deep learning and computer vision, and has developed computer vision algorithms for analyzing diverse types of visual data ranging from video capture of human behavior, to medical images and cell microscopy images.
Dr. Yeung leads the Medical AI and Computer Vision Lab at Stanford. She is affiliated with the Stanford Artificial Intelligence Laboratory, the Clinical Excellence Research Center, the Center for Artificial Intelligence in Medicine & Imaging, the Center for Human-Centered Artificial Intelligence, and Bio-X. She also serves on the NIH Advisory Committee to the Director Working Group on Artificial Intelligence.
Professor of Radiology (Neuroimaging and Neurointervention)
Current Research and Scholarly InterestsImproving medical image quality using deep learning artificial intelligence
Imaging of cerebral hemodynamics with MRI and CT
Noninvasive oxygenation measurement with MRI
Clinical imaging of cerebrovascular disease
Imaging of cervical artery dissection
MR/PET in Neuroradiology
Resting-state fMRI for perfusion imaging and stroke
Sr Research Scholar
BioDr. Edward N. Zalta is a Senior Research Scholar at the Center for the Study of Language and Information at Stanford University. He obtained an honors B.A. from Rice University in 1975, and a Ph.D. in Philosophy from the University of Massachusetts/Amherst in 1981. His research specialties include metaphysics/ontology, philosophy of mathematics, computational metaphysics, philosophical and philosophy of logic, and intensional logic, among others. Zalta has published two books (*Abstract Objects: An Introduction to Axiomatic Metaphysics*, D. Reidel, 1983; and *Intensional Logic and the Metaphysics of Intentionality*, MIT Press, 1988), as well as articles in the Journal of Philosophy, Mind, the Journal of Philosophical Logic, Noûs, and elsewhere. He has taught courses and lectured at universities around the world and is the recipient of the K. Jon Barwise Prize (2016, awarded by the American Philosophical Association, Committee on Computing and Philosophy) and the Covey Award (2009, awarded by the International Association for Computing and Philosophy). Zalta also designed the online Stanford Encyclopedia of Philosophy <http://plato.stanford.edu/> and now serves as its Principal Editor. For further information, see <http://mally.stanford.edu/zalta.html>.
Senior Fellow at the Freeman Spogli Institute for International Studies, at the Hoover Institution and, Professor, by courtesy, of Political Science
Current Research and Scholarly InterestsU.S. intelligence, cybersecurity, political risk, grand strategy