Institute for Human-Centered Artificial Intelligence (HAI)

Showing 21-40 of 221 Results

  • Stephen Boyd

    Stephen Boyd

    Samsung Professor in the School of Engineering and Professor, by courtesy, of Computer Science and of Management Science and Engineering

    BioStephen P. Boyd is the Samsung Professor of Engineering, and Professor of Electrical Engineering in the Information Systems Laboratory at Stanford University. He has courtesy appointments in the Department of Management Science and Engineering and the Department of Computer Science, and is member of the Institute for Computational and Mathematical Engineering. His current research focus is on convex optimization applications in control, signal processing, machine learning, and finance.

    Professor Boyd received an AB degree in Mathematics, summa cum laude, from Harvard University in 1980, and a PhD in EECS from U. C. Berkeley in 1985. In 1985 he joined Stanford's Electrical Engineering Department. He has held visiting Professor positions at Katholieke University (Leuven), McGill University (Montreal), Ecole Polytechnique Federale (Lausanne), Tsinghua University (Beijing), Universite Paul Sabatier (Toulouse), Royal Institute of Technology (Stockholm), Kyoto University, Harbin Institute of Technology, NYU, MIT, UC Berkeley, CUHK-Shenzhen, and IMT Lucca. He holds honorary doctorates from Royal Institute of Technology (KTH), Stockholm, and Catholic University of Louvain (UCL).

    Professor Boyd is the author of many research articles and four books: Introduction to Applied Linear Algebra: Vectors, Matrices, and Least-Squares (with Lieven Vandenberghe, 2018), Convex Optimization (with Lieven Vandenberghe, 2004), Linear Matrix Inequalities in System and Control Theory (with El Ghaoui, Feron, and Balakrishnan, 1994), and Linear Controller Design: Limits of Performance (with Craig Barratt, 1991). His group has produced many open source tools, including CVX (with Michael Grant), CVXPY (with Steven Diamond) and Convex.jl (with Madeleine Udell and others), widely used parser-solvers for convex optimization.

    Professor Boyd has received many awards and honors for his research in control systems engineering and optimization, including an ONR Young Investigator Award, a Presidential Young Investigator Award, and the AACC Donald P. Eckman Award. In 2013, he received the IEEE Control Systems Award, given for outstanding contributions to control systems engineering, science, or technology. In 2012, Michael Grant and he were given the Mathematical Optimization Society's Beale-Orchard-Hays Award, for excellence in computational mathematical programming. He is a Fellow of the IEEE, SIAM, and INFORMS, a Distinguished Lecturer of the IEEE Control Systems Society, a member of the US National Academy of Engineering, a foreign member of the Chinese Academy of Engineering, and a foreign member of the National Academy of Engineering of Korea. He has been invited to deliver more than 90 plenary and keynote lectures at major conferences in control, optimization, signal processing, and machine learning.

    He has developed and taught many undergraduate and graduate courses, including Signals & Systems, Linear Dynamical Systems, Convex Optimization, and a recent undergraduate course on Matrix Methods. His graduate convex optimization course attracts around 300 students from more than 20 departments. In 1991 he received an ASSU Graduate Teaching Award, and in 1994 he received the Perrin Award for Outstanding Undergraduate Teaching in the School of Engineering. In 2003, he received the AACC Ragazzini Education award, for contributions to control education, with citation: “For excellence in classroom teaching, textbook and monograph preparation, and undergraduate and graduate mentoring of students in the area of systems, control, and optimization.” In 2016 he received the Walter J. Gores award, the highest award for teaching at Stanford University. In 2017 he received the IEEE James H. Mulligan, Jr. Education Medal, for a career of outstanding contributions to education in the fields of interest of IEEE, with citation "For inspirational education of students and researchers in the theory and application of optimization."

  • Erik Brynjolfsson

    Erik Brynjolfsson

    Jerry Yang and Akiko Yamazaki Professor, Senior Fellow at Stanford Institute for Human-Centered Artificial Intelligence, at SIEPR & Professor, by courtesy, of Economics & of Operations, Information & Technology & of Economics at the GSB

    BioErik Brynjolfsson is the Jerry Yang and Akiko Yamazaki Professor and Director of the Stanford Digital Economy Lab at HAI. He is also the Ralph Landau Senior Fellow at SIEPR, and a Professor, by courtesy, at the Stanford Graduate School of Business and at the Department of Economics. Prof. Brynjolfsson is a Research Associate at the National Bureau of Economic Research and co-author of six books, including The Second Machine Age. His research, teaching and speaking focus on the effects of digital technologies, including AI, on the economy and business.

  • Carlos Bustamante

    Carlos Bustamante

    Professor of Biomedical Data Science, of Genetics and, by courtesy, of Biology

    Current Research and Scholarly InterestsMy genetics research focuses on analyzing genome wide patterns of variation within and between species to address fundamental questions in biology, anthropology, and medicine. We focus on novel methods development for complex disease genetics and risk prediction in multi-ethnic settings. I am also interested in clinical data science and development of new diagnostics.I am also interested in disruptive innovation for healthcare including modeling long-term risk shifts and novel payment models.

  • Jef Caers

    Jef Caers

    Professor of Geological Sciences

    Current Research and Scholarly InterestsMy research focuses on the exploration & exploitation of geological resources, from data acquisition to decision making under uncertainty and risk assessment.

  • Danton Char

    Danton Char

    Assistant Professor of Anesthesiology, Perioperative and Pain Medicine (Pediatric) at the Stanford University Medical Center

    Current Research and Scholarly InterestsDr. Char's research is focused on identifying and addressing ethical concerns associated with the implementation of next generation technologies like whole genome sequencing and its attendant technologies like machine learning to bedside clinical care.

  • Akshay Chaudhari

    Akshay Chaudhari

    Assistant Professor (Research) of Radiology (Integrative Biomedical Imaging Informatics at Stanford) and, by courtesy, of Biomedical Data Science

    Current Research and Scholarly InterestsDr. Chaudhari is interested in the application of artificial intelligence techniques to all aspects of medical imaging, including automated schedule and reading prioritization, image reconstruction, quantitative analysis, and prediction of patient outcomes. His interests range from developing novel data-efficient machine learning algorithms to clinical deployment and validation of patient outcomes. He is also exploring combining imaging with clinical, natural language, and time series data.

  • Jonathan H. Chen, MD, PhD

    Jonathan H. Chen, MD, PhD

    Assistant Professor of Medicine (Biomedical Informatics) at the Stanford University Medical Center

    Current Research and Scholarly InterestsInformatics solutions ares the only credible approach to systematically address challenges of escalating complexity in healthcare. Tapping into real-world clinical data streams like electronic medical records will reveal the community's latent knowledge in a reproducible form. Delivering this back as clinical decision support will uniquely close the loop on a continuously learning health system.

  • Angele Christin

    Angele Christin

    Assistant Professor of Communication and, by courtesy, of Sociology
    On Leave from 10/01/2020 To 06/30/2021

    BioAngèle Christin is an Assistant Professor in the Department of Communication, and, by courtesy, in the Sociology Department at Stanford University. She studies fields and organizations where algorithms and ‘big data’ analytics transform professional values, expertise, and work practices. She received her PhD in Sociology from Princeton University and the EHESS (Paris).

  • Celia Clark-Worley

    Celia Clark-Worley

    Events Manager, Institute for Human-Centered Artificial Intelligence (HAI)

    BioCelia Clark joined the Stanford Institute for Human-Centered Artificial Intelligence (HAI) in 2018 and serves as the Events Manager. She is responsible for managing and executing HAI seminars, workshops, and conferences. Prior to joining HAI, Celia was the Events Planner for the Stanford Institute for Economic Policy Research (SIEPR).

    Celia holds an MS in Recreation, Sports, and Tourism from the University of Illinois, Urbana-Champaign, and a BA in Psychology from Agnes Scott College.

  • Geoffrey Cohen

    Geoffrey Cohen

    James G. March Professor in Organizational Studies in Education and Business, Professor of Psychology and, by courtesy, of Organizational Behavior at the Graduate School of Business

    Current Research and Scholarly InterestsMuch of my research examines processes related to identity maintenance and their implications for social problems. One primary aim of my research is the development of theory-driven, rigorously tested intervention strategies that further our understanding of the processes underpinning social problems and that offer solutions to alleviate them. Two key questions lie at the core of my research: “Given that a problem exists, what are its underlying processes?” And, “Once identified, how can these processes be overcome?” One reason for this interest in intervention is my belief that a useful way to understand psychological processes and social systems is to try to change them. We also are interested in how and when seemingly brief interventions, attuned to underlying psychological processes, produce large and long-lasting psychological and behavioral change.

    The methods that my lab uses include laboratory experiments, longitudinal studies, content analyses, and randomized field experiments. One specific area of research addresses the effects of group identity on achievement, with a focus on under-performance and racial and gender achievement gaps. Additional research programs address hiring discrimination, the psychology of closed-mindedness and inter-group conflict, and psychological processes underlying anti-social and health-risk behavior.

  • Steven Hartley Collins

    Steven Hartley Collins

    Associate Professor of Mechanical Engineering

    BioSteve Collins is an Associate Professor of Mechanical Engineering at Stanford University, where he teaches courses on design and robotics and directs the Stanford Biomechatronics Laboratory. His primary focus is to speed and systematize the design and prescription of prostheses and exoskeletons using versatile device emulator hardware and human-in-the-loop optimization algorithms (Zhang et al. 2017, Science). Another interest is efficient autonomous devices, such as highly energy-efficient walking robots (Collins et al. 2005, Science) and exoskeletons that use no energy yet reduce the metabolic energy cost of human walking (Collins et al. 2015, Nature).

    Prof. Collins received his B.S. in Mechanical Engineering in 2002 from Cornell University, where he performed undergraduate research on passive dynamic walking robots. He received his Ph.D. in Mechanical Engineering in 2008 from the University of Michigan, where he performed research on the dynamics and control of human walking. He performed postdoctoral research on humanoid robots at T. U. Delft in the Netherlands. He was a professor of Mechanical Engineering and Robotics at Carnegie Mellon University for seven years. In 2017, he joined the faculty of Mechanical Engineering at Stanford University.

    Prof. Collins is a member of the Scientific Board of Dynamic Walking and the Editorial Board of Science Robotics. He has received the Young Scientist Award from the American Society of Biomechanics, the Best Medical Devices Paper from the International Conference on Robotics and Automation, and the student-voted Professor of the Year in his department.

  • Steven Crane

    Steven Crane

    Social Science Research Scholar

    BioI teach and do research across a variety of fields and work with teams to coordinate projects across academia and industry. I intend to study, share, and practice the principles of life that lead to greater wisdom, peace, and prosocial engagement in the world.

    Born in Arizona in 1988, I received a BA in Human Biology (with a concentration in the Psychology and Philosophy of Successful Aging) from Stanford University in 2012 and an MS in Community Health and Prevention Research from Stanford Medicine in 2019. As a speaker, teacher, and writer, I cover topics ranging from biology and psychology to behavior design, human nature, and the future of biotechnology. As a consultant and interdisciplinary research scholar, I study human behavior (especially screen time), biotechnological ethics, social connectedness, public health, and human flourishing.

    See more on my personal website: or our Stanford project website at

  • Mariano-Florentino Cuéllar

    Mariano-Florentino Cuéllar

    Visiting Professor

    Current Research and Scholarly InterestsAdministrative law and public organizations; domestic aspects of national security; transnational crime; citizenship, migration and the nation-state; public health law.