Institute for Human-Centered Artificial Intelligence (HAI)
Showing 101-120 of 258 Results
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Lawrence "Rusty" Hofmann, MD
Professor of Radiology (Interventional Radiology)
On Partial Leave from 2026-07-26 To 2026-12-31BioDr. Lawrence “Rusty” Hofmann is an actively practicing physician and Professor of Interventional Radiology at Stanford School of Medicine, as well as the Chief of Industry Partnerships for Stanford Healthcare, Medical Director of Cardiac and Interventional Services, and the Medical Director of Digital Health at Stanford Medicine. He served as Chief of Interventional Radiology at Stanford for nearly two decades. He is the Co-Founder of Grand Rounds, Inc, rebranded as Included Health. He has devoted his career to providing state-of-the-art care to patients at either Johns Hopkins, where he practiced for 10 years, or Stanford, where he practiced for 15 years. He has published over 100 scientific articles on minimally invasive treatment of blood clots (DVT) and cancer. He has always had in interest in innovation. He holds 2 patents, has worked as a consultant for numerous medical device companies, both start-ups and large companies and is currently the Global-Principal Investigator for the first clinical trial testing a venous stent. He has invented and brought a number of devices from napkin stage to world-wide use. He has active digital health research projects at the intersection of artificial intelligence and clinical care, including telemedicine and deep venous thrombosis.
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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. -
Patrick Hynes
Senior Manager of Research Communities, Institute for Human-Centered Artificial Intelligence (HAI)
Current Role at StanfordSenior Manager of Research Communities at Stanford HAI
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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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Alireza Javadian Sabet
Affiliate, Stanford Digital Economy Lab (S-DEL)
BioAlireza Javadian Sabet is a Postdoctoral Scholar at the University of Chicago Knowledge Lab and a Digital Fellow at Stanford Digital Economy Lab. He earned a PhD in Information Science from the Resilient Economy Lab at the University of Pittsburgh, where his research focused on mapping career adaptability and understanding how skills and experience translate into changing sets of opportunities over time. He also holds a master’s degree in Computer Science and Engineering from Politecnico di Milano (PoliMi) and previously served as a research fellow at the Data Science Lab and the DEpendable Evolvable Pervasive Software Engineering group. His work has been discussed in policy and business outlets, including The Economist and the American Enterprise Institute.
Alireza studies how transformative AI reshapes labor markets and innovation systems, developing models and measures from large-scale datasets that link technological capabilities to changes in skills, mobility, and knowledge production. His work combines text and trajectory data to track skill formation in education, quantify how career opportunities expand or concentrate over time, and connect these dynamics to the movement of talent across organizations and borders. He is motivated by the broader challenge of assessing and predicting technology outcomes, including how advances diffuse through tasks and institutions, and how choices around funding, training, and governance influence who benefits from technological change. -
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.
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Khizer Khaderi MD, MPH
Clinical Associate Professor, Ophthalmology
BioDr. Khizer Khaderi is a Clinical Associate Professor at the Byers Eye Institute at Stanford University. Khaderi is the Founding Director of the Stanford Human Perception Laboratory (HPL) and the Stanford Vision Performance Center (VPC). He also serves as faculty at the Stanford Institute for Human-Centered AI and the Wu Tsai Human Performance Alliance (HPA)
Khaderi is a renowned Neuro-Ophthalmic surgeon, technologist and futurist. Dr. Khaderi is pioneering the field of Symbiotics, defined as the convergence of human science + computer science. Khaderi developed the discipline of Symbiotics following initial interest from CS students interested in his research at the Stanford Human Perception Lab. Symbiotics involves a deep understanding in the principles of human systems and applying these principles computationally, to design and develop the next generation of human-centric technologies, where machines perceive, understand and respond to optimize the human experience. Dr. Khaderi envisions the application of Symbiotic principles as the key to unlocking ambient intelligence.
Khaderi has extensive domain expertise in artificial intelligence (AI), spatial computing (virtual reality (VR), augmented reality (AR), mixed reality (MxR)), wearables, gaming, IoT, Web3, applied neuroscience, human factors, and human-machine interfaces/interaction. His research interests include developing personalized human intelligent systems based on the human brain and sensory systems, developing technologies to optimize human performance, and combining biological and computational principles to expand our capabilities in research, clinical practice, and everyday life. Dr. Khaderi's approach to advance research interests and develop practical applications for everyday use is building technology, companies and collaborative partnerships across academia and industry.
Dr. Khaderi’s experience across industry sectors include consumer electronics, gaming, retail, life science, sports/Esports health care, Pharma, e-commerce, to name a few. He has developed novel technologies in these areas, and generated multiple invention patents. Selected as a “40 under 40”, he contributed to President Obama’s Council of Advisors on Science and Technology regarding vision technology and the aging population. He also advises multiple companies, venture firms and organizations including Apple, Google, Meta, Microsoft, Riot Games, Intel, Activision, Unity, Epic Games, NBA, Glaukos, the Global Esports Federation, the World Health Organization, the International Olympic Committee, the International Telecommunication Union, and the World Bank. -
Oussama Khatib
Weichai Professor and Professor, by courtesy, of Electrical Engineering
BioRobotics research on novel control architectures, algorithms, sensing, and human-friendly designs for advanced capabilities in complex environments. With a focus on enabling robots to interact cooperatively and safely with humans and the physical world, these studies bring understanding of human movements for therapy, athletic training, and performance enhancement. Our work on understanding human cognitive task representation and physical skills is enabling transfer for increased robot autonomy. With these core capabilities, we are exploring applications in healthcare and wellness, industry and service, farms and smart cities, and dangerous and unreachable settings -- deep in oceans, mines, and space.
