Institute for Human-Centered Artificial Intelligence (HAI)
Showing 111-120 of 146 Results
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Fei-Fei Li
Sequoia Capital Professor, Co-Director of the Stanford Institute for Human-Centered Artificial Intelligence (HAI) and Professor, by courtesy, of Operations, Information and Technology at the Graduate School of Business
Current Research and Scholarly InterestsAI, Machine Learning, Computer Vision, Robotics, AI+Healthcare, Human Vision
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Ron Li
Clinical Assistant Professor, Medicine
BioRon Li is a Clinical Assistant Professor of Medicine in the Division of Hospital Medicine and Center for Biomedical Informatics Research at Stanford University School of Medicine. He is also the Medical Informatics Director for Artificial Intelligence Clinical Integration at Stanford Health Care. Ron's work is centered around the design, implementation, and evaluation of novel systems of care delivery that can be enabled by artificial intelligence. His work spans across multiple disciplines, including clinical medicine, data science, digital health, information technology, design thinking, process improvement, and implementation science. Current areas of focus include using machine learning to improve advance care planning, care of clinically deteriorating patients, and e-consults for the health system. He has consulted for various companies in the digital health and artificial intelligence space. He is a practicing hospitalist and attends on the inpatient medicine teaching service at Stanford Hospital.
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Percy Liang
Associate Professor of Computer Science and, by courtesy, of Statistics
BioPercy Liang is an Associate Professor of Computer Science at Stanford University (B.S. from MIT, 2004; Ph.D. from UC Berkeley, 2011). His two research goals are (i) to make machine learning more robust, fair, and interpretable; and (ii) to make computers easier to communicate with through natural language. His awards include the Presidential Early Career Award for Scientists and Engineers (2019), IJCAI Computers and Thought Award (2016), an NSF CAREER Award (2016), a Sloan Research Fellowship (2015), and a Microsoft Research Faculty Fellowship (2014).
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C. Karen Liu
Associate Professor of Computer Science
BioC. Karen Liu is an associate professor in the Computer Science Department at Stanford University. Prior to joining Stanford, Liu was a faculty member at the School of Interactive Computing at Georgia Tech. She received her Ph.D. degree in Computer Science from the University of Washington. Liu's research interests are in computer graphics and robotics, including physics-based animation, character animation, optimal control, reinforcement learning, and computational biomechanics. She developed computational approaches to modeling realistic and natural human movements, learning complex control policies for humanoids and assistive robots, and advancing fundamental numerical simulation and optimal control algorithms. The algorithms and software developed in her lab have fostered interdisciplinary collaboration with researchers in robotics, computer graphics, mechanical engineering, biomechanics, neuroscience, and biology. Liu received a National Science Foundation CAREER Award, an Alfred P. Sloan Fellowship, and was named Young Innovators Under 35 by Technology Review. In 2012, Liu received the ACM SIGGRAPH Significant New Researcher Award for her contribution in the field of computer graphics.
