Institute for Human-Centered Artificial Intelligence (HAI)
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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 for coverage of a mass shooting, and recipient of an Emmy for her reporting on neglected diseases. She received multiple grants from the Pulitzer Center on Crisis Reporting for coverage of gender based violence in India and the aftermath of the Ebola epidemic in West Africa. In 2017, Yasmin was a John S. Knight Fellow in Journalism at Stanford University investigating the spread of health misinformation and disinformation during public health crises. 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. She teaches crisis management and crisis communication at the UCLA Anderson School of Management as a Visiting Assistant Professor.
She is the author of eight non-fiction, fiction, poetry and childrens books, including: What the Fact?! Finding the Truth in All the Noise (Simon and Schuster, 2022); Viral BS: Medical Myths and Why We Fall For Them (Johns Hopkins University Press, 2021); Muslim Women Are Everything: Stereotype-Shattering Stories of Courage, Inspiration and Adventure (HarperCollins, 2020); If God Is A Virus: Poems (Haymarket, 2021); Unbecoming: A Novel (Simon and Schuster, 2024); Djinnology: An Illuminated Compendium of Spirits and Stories from the Muslim World (Chronicle, 2024); and The ABCs of Queer History (Workman Books, 2024). Her writing appears in The New York Times, Rolling Stone, WIRED, Scientific American and other outlets.
Yasmin’s unique expertise in epidemics and communications has been called upon by the Vatican, the Presidential Commission for the Study of Bioethical Issues, the Aspen Institute, the Skoll Foundation, the Biden White House, and others. She teaches a new paradigm for trust-building and evidence-based communication to leadership at the World Health Organization and CDC. In 2019, she was the inaugural director of the Stanford Health Communication Initiative.
Her scholarly work focuses on the spread of scientific misinformation and disinformation, information equity, and the varied susceptibilities of different populations to false information about health and science. In 2020, she received a fellowship from the Emerson Collective for her work on inequitable access to health information. She teaches multimedia storytelling to medical students in the REACH program.
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>.
Morris Arnold and Nona Jean Cox Senior Fellow at the Hoover Institution, Senior Fellow at the Freeman Spogli Institute for International Studies, at the Stanford Institute for HAI, and Professor, by courtesy, of Political Science
Current Research and Scholarly InterestsU.S. intelligence, cybersecurity, political risk, grand strategy
Senior Manager for Policy Initiatives, Institute for Human-Centered Artificial Intelligence (HAI)
BioDaniel Zhang is the senior manager for policy initiatives at the Stanford Institute for Human-Centered Artificial Intelligence (HAI) where he leads the Institute's policy research, outreach, and education initiatives. With the goal of developing evidence-based AI policy recommendations, his research interests lie at the intersection of technology policy, governance, and societal impact, including translational and original research on AI regulation and standards, the geopolitical implication of emerging technology, and the governance of large-scale ML models.
Daniel is also a member of the High-Level Expert Group on AI Ethics at UNESCO, advising the agency on the implementation of its Recommendation on the Ethics of AI. Previously, he was the manager of the AI Index where he lead-authored the 2021 and 2022 annual reports that measure and evaluate the rapid rate of AI advancement.
Before Stanford, he worked on global AI talent flows and security risks at the Center for Security and Emerging Technology and public education policy at the Riley Institute Center for Education and Leadership. Daniel holds a Master's in Security Studies from Georgetown University's Walsh School of Foreign Service, where he concentrated on technology policy, and a Bachelor's from Furman University.
Harrison G. Zhang
MD Student, expected graduation Spring 2028
grad student, Institute for Human-Centered Artificial Intelligence (HAI)
BioMD-PhD candidate in the Stanford University Medical Scientist Training Program.
Associate Professor of Biomedical Data Science
Current Research and Scholarly InterestsMy group works on both foundations of statistical machine learning and applications in biomedicine and healthcare. We develop new technologies that make ML more accountable to humans, more reliable/robust and reveals core scientific insights.
We want our ML to be impactful and beneficial, and as such, we are deeply motivated by transformative applications in biotech and health. We collaborate with and advise many academic and industry groups.