Institute for Human-Centered Artificial Intelligence (HAI)
Showing 1-9 of 9 Results
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Dennis Wall
Professor of Pediatrics (Clinical Informatics), of Biomedical Data Science and, by courtesy, of Psychiatry and Behavioral Sciences
Current Research and Scholarly InterestsSystems biology for design of clinical solutions that detect and treat disease
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C. Jason Wang, MD, PhD
LCY: Tan Lan Lee Professor and Professor of Pediatrics (General Pediatrics) and of Health Policy
BioDr. Wang is the Director of Center for Policy, Outcomes and Prevention. Prior to coming to Stanford in 2011, he was a faculty member at Boston University Schools of Medicine and Public Health. His other professional experiences include working as a management consultant with McKinsey and Company and serving as the project manager for Taiwan's National Health Insurance Reform Task-force. His current interests include: 1) pandemic preparedness; 2) role of generative Ai on child health and development; 3) use of mobile technology in improving quality of care; 4) assessing and improving the value of healthcare, and 5) healthcare delivery innovations and payment reforms.
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Ge Wang
Associate Professor of Music and Senior Fellow at the Stanford Institute for Human-Centered AI
BioGe Wang is an Associate Professor at Stanford University in the Center for Computer Research in Music and Acoustics (CCRMA). He specializes in the art of design and computer music — researching programming languages and interactive software design for music, interaction design, mobile music, laptop orchestras, expressive design of virtual reality, aesthetics of music technology design, and education at the intersection of computer science and music. Ge is the author of the ChucK music programming language, the founding director of the Stanford Laptop Orchestra (SLOrk). Ge is also the Co-founder of Smule (reaching over 200 million users), and the designer of the iPhone's Ocarina and Magic Piano. Ge is a 2016 Guggenheim Fellow, and the author of ARTFUL DESIGN: TECHNOLOGY IN SEARCH OF THE SUBLIME—a book on design and technology, art and life‚ published by Stanford University Press in 2018 (see https://artful.design/)
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Victoria Ward
Clinical Associate Professor, Pediatrics
Current Research and Scholarly InterestsGlobal child health, Health AI in LMICs, preterm birth, human trafficking
https://digitalmedic.stanford.edu/
https://htdatalab.stanford.edu/ -
Risa Wechsler
Director, Kavli Institute for Particle Astrophysics and Cosmology (KIPAC), Humanities and Sciences Professor, Professor of Physics and of Particle Physics and Astrophysics, and Senior Fellow at Stanford HAI
BioRisa Wechsler is the Humanities and Sciences Professor and the Director of the Kavli Institute of Particle Astrophysics and Cosmology. She is also Professor of Physics (H&S) and Professor of Particle Physics & Astrophysics (SLAC), Director of the Center for Decoding the Universe, and an Associate Director at Stanford Data Science. She is a cosmologist whose work investigates some of the biggest outstanding questions about our universe — how it formed, what it is made of, how it is structured, and what its future holds.
Her research focuses on understanding the evolution of galaxies, the large-scale structure of the universe, and the nature of dark matter and dark energy. She uses large numerical simulations, theoretical models, and the largest observed maps of the universe to explore these forces that shape the cosmos. Her recent work also investigates the formation and cosmological context of the Milky Way and probes dark matter through small-scale cosmic structure, and explores how data science and AI/ML can drive new understanding. Wechsler has played key leadership roles in major international collaborations including the Dark Energy Survey, Dark Energy Spectroscopic Instrument, and Rubin Observatory's Legacy Survey of Space and time, a decade-long survey that will reveal the dynamic universe in unprecedented detail. She is recently involved in the Via Survey, which will map the Milky Way at high precision to probe dark matter physics in new ways.
Wechsler is an elected member of the National Academy of Sciences and the American Academy of Arts and Sciences and a Fellow of the American Physical Society and the American Association for the Advancement of Science.
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Terry Winograd
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. -
Jiajun Wu
Assistant Professor of Computer Science and, by courtesy, of Psychology
BioJiajun Wu is an Assistant Professor of Computer Science and, by courtesy, of Psychology at Stanford University, working on computer vision, machine learning, robotics, 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 from the Massachusetts Institute of Technology. Wu's research has been recognized through the IJCAI Computers and Thought Award, the Young Investigator Programs (YIP) by ONR and by AFOSR, the NSF CAREER award, the Okawa research grant, the AI's 10 to Watch by IEEE Intelligent Systems, paper awards and finalists at ICCV, CVPR, SIGGRAPH Asia, ICRA, CoRL, and IROS, dissertation awards from ACM, AAAI, and MIT, the 2020 Samsung AI Researcher of the Year, and faculty research awards from Microsoft, Google, Nvidia, J.P. Morgan, Samsung, Amazon, and Meta.
