Institute for Human-Centered Artificial Intelligence (HAI)
Showing 81-90 of 190 Results
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Caroline Hoxby
Scott and Donya Bommer Professor in the School of Humanities and Sciences, Senior Fellow at the Hoover Institution and at the Stanford Institute for Economic Policy Research and Professor, by courtesy, of Economics at the GSB
BioCaroline Hoxby is the Scott and Donya Bommer Professor of Economics at Stanford University, a Senior Fellow of the Hoover Institution, and the Director of the Economics of Education Program at the National Bureau of Economic Research. Before moving to Stanford, she was the Allie S. Fried Professor of Economics at Harvard University. A public and labor economist, Hoxby is one of the world's leading scholars in the Economics of Education. She is especially well known for promoting scientific methods in education research. She was the Principal Investigator of the Expanding College Opportunities project, which had dramatic effects on low-income, high achievers' college-going. For this project, recently received The Smithsonian Institution's Ingenuity Award. Some of the other research for which she is best known includes explaining the rising cost of higher education, the effects of school choice and charter schools on student achievement, and the effects of teacher unionization. She also writes on public school finance, peer effects, and how education affects economic growth. Her recent series of Tanner Lectures on Human Values (Berkeley) focuses on neuroscience and the cognitive skills of adolescents. She is a past Vice-President of the American Economic Association and the current Vice-President of the Western Economic Association International. Hoxby is a Fellow of the American Academy of Arts and Sciences, the British Academy, and the American Academy of Sciences and Letters. She is an award-winning instructor and advisor and is a Bass University Fellow in Undergraduate Education at Stanford University. Hoxby has a Ph.D. from MIT, studied at Oxford as a Rhodes Scholar, and obtained her baccalaureate degree summa cum laude from Harvard University.
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Jackelyn Hwang
Associate Professor of Sociology
BioJackelyn Hwang is an Associate Professor in the Department of Sociology and Director of the Changing Cities Research Lab. Jackelyn’s main research interests are in the fields of urban sociology, race and ethnicity, immigration, and inequality. In particular, her research uses innovative data, measures, and methods to answer: how do neighborhood-level dynamics that are typically racialized drive changes in US residential segregation? Her projects focus on how residential sorting mechanisms shape how gentrification unfolds over time and space, the consequences of gentrification on residential displacement, and developing data and measurement infrastructures for improving measures of gentrification, including developing automated methods using computer vision to measure visible neighborhood conditions and their changes over time from Google Street View imagery. By improving our understanding of urban change and segregation, her work aims to advance policy solutions that promote racial equity as cities change.
Jackelyn received her B.A.S. in Sociology and Mathematics from Stanford University and her Ph.D. in Sociology and Social Policy from Harvard University. After completing her Ph.D., she was a Postdoctoral Research Fellow in the Office of Population Research at Princeton University. Her research has been supported by the American Sociological Association, the Joint Center for Housing Studies, the National Science Foundation, among others. Her work has appeared in the American Journal of Sociology, American Sociological Review, City & Community, Demography, Social Forces, Sociological Methods and Research, Sociological Methodology, and Urban Affairs Review, and other academic journals. -
Daniel Imler
Clinical Associate Professor, Emergency Medicine
Clinical Associate Professor, PediatricsCurrent Research and Scholarly InterestsI am interested in understanding the impact of smart, agile clinical pathways to drive behavior change among providers.
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Ramesh Johari
Professor of Management Science and Engineering, Senior Fellow at the Stanford Institute for Human-Centered Artificial Intelligence (HAI) and, by courtesy, of Electrical Engineering
BioJohari is broadly interested in the design, economic analysis, and operation of online platforms, as well as statistical and machine learning techniques used by these platforms (such as search, recommendation, matching, and pricing algorithms).
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Amit Kaushal
Adjunct Professor, Bioengineering
BioDr. Kaushal is Clinical Associate Professor of Medicine and Adjunct Professor of Bioengineering at Stanford University. He is a respected internal medicine physician with expertise in applications of computer science, artificial intelligence (AI), and machine learning (ML) to medicine and public health. He has worked in roles ranging from deeply technical to deeply clinical, in both academia and industry.
Dr. Kaushal brings over 20 years of research experience at the intersection of computer science and biomedicine. His work focuses on taking AI/ML applications from concept all the way through live clinical deployment, with attention to fair and ethical use of AI. His work has been featured in JAMA, Nature, Lancet Digital Health, NEJM AI, NEJM Catalyst Innovations in Care Delivery, Nature npj Digital Medicine, JAMA Network Open, Health Affairs Blog, and others; and he has been covered in popular media outlets such as Scientific American, Wired, STAT News, The Verge, LA Times, and more.
Dr. Kaushal launched Stanford University School of Engineering's undergraduate degree program in Biomedical Computation over 20 years ago; he serves as co-director of the major, which has graduated over 150 students since its founding. He is a faculty in the Stanford Center for Artificial Intelligence in Medicine and Imaging, Stanford Institute for Human-Centered Artificial Intelligence, Stanford Clinical Excellence Research Center, and Stanford Partnership for AI-Assisted Care.
Dr. Kaushal practices hospital medicine at VA Palo Alto, where he also serves as inaugural Director of the Amplified Reach Catalyst (ARC) Program, an embedded research-support infrastructure for VA hospitalist clinicians.
Dr. Kaushal has served in executive, operating, and advisory roles in industry.
Dr. Kaushal is board certified in both internal medicine and clinical informatics. He completed his BS (Biomedical Computation), MD, PhD (Biomedical Informatics) and Internal Medicine residency training all at Stanford University. -
Monroe Kennedy III
Assistant Professor of Mechanical Engineering and, by courtesy, of Computer Science
Current Research and Scholarly InterestsMy research focus is to develop technology that improves everyday life by anticipating and acting on the needs of human counterparts. My research can be divided into the following sub-categories: robotic assistants, connected devices and intelligent wearables. My Assistive Robotics and Manipulation lab focuses heavily on both the analytical and experimental components of assistive technology design.
