Institute for Human-Centered Artificial Intelligence (HAI)
Showing 1-50 of 225 Results
Clinical Assistant Professor, Psychiatry and Behavioral Sciences
Current Research and Scholarly InterestsMy research lies in the intersection of Machine Learning, Computer Vision, Healthcare, and Computational Neuroscience.
W. Stewart Agras
Professor of Psychiatry and Behavioral Sciences, Emeritus
Current Research and Scholarly InterestsMy research is focused on disorders of human feeding including the eating disorders: anorexia nervosa, bulimia nervosa, and binge eating disorder. Ongoing or recently completed studies include: A controlled trial of the implementation of interpersonal psychotherapy for eating disorders and depression on college campuses across the U.S. A multisite controlled study of two types of family therapy for the treatment of adolescent anorexia nervosa. Early prevemtion of overweight and obesity.
Forest Baskett Professor and Professor, by courtesy, of Electrical Engineering
Current Research and Scholarly InterestsComputer Graphics, Human Computer Interaction and Visualization.
Russ B. Altman
Kenneth Fong Professor and Professor of Bioengineering, of Genetics, of Medicine (General Medical Discipline), of Biomedical Data Science and, by courtesy, of Computer ScienceOn Partial Leave from 10/01/2021 To 12/31/2021
Current Research and Scholarly InterestsI refer you to my web page for detailed list of interests, projects and publications. In addition to pressing the link here, you can search "Russ Altman" on http://www.google.com/
Bruce Arnow, Ph.D.
Professor of Psychiatry and Behavioral Sciences (General Psychiatry and Psychology - Adult)
Current Research and Scholarly InterestsCurrent research interests include treatment outcome for major depression, particularly treatment refractory and chronic forms of major depression, as well as mediators and moderators of outcome; the epidemiology of chronic pain and depression; relationships between child maltreatment and adult sequelae, including psychiatric, medical and health care utilization.
Euan A. Ashley
Associate Dean, School of Medicine, Roger W. and Joelle G. Burnell Professor of Genomics and Precision Health, Professor of Medicine (Cardiovascular Medicine), of Genetics, of Biomedical Data Science and, by courtesy, of Pathology
Current Research and Scholarly InterestsThe Ashley lab is focused on precision medicine. We develop methods for the interpretation of whole genome sequencing data to improve the diagnosis of genetic disease and to personalize the practice of medicine. At the wet bench, we take advantage of cell systems, transgenic models and microsurgical models of disease to prove causality in biological pathways and find targets for therapeutic development.
Affiliate, Stanford Digital Economy Lab (S-DEL)
BioSagit Bar-Gill is an assistant professor of Technology Management and Information Systems at Tel Aviv University's Coller School of Management, and a Fellow at Stanford's Digital Economy Lab and MIT’s Initiative on the Digital Economy.
Sagit's research is centered around the economics of online markets, and the impacts of digitization on firms and consumers. Her work combines economic modeling, experiments and data analytics to understand the online economy.
Michele Barry, MD, FACP
Drs. Ben & A. Jess Shenson Professor, Senior Associate Dean, Global Health, Director, Center for Innovation in Global Health, Professor of Medicine and Senior Fellow at the Woods Institute
Current Research and Scholarly InterestsAreas of research
Ethical Aspects of research conducted overseas
Clinical Tropical Diseases
Globalization's Impact upon Health Disparities
Associate Professor of Operations, Information and Technology at the Graduate School of Business and, by courtesy, of Electrical EngineeringOn Leave from 03/15/2021 To 12/31/2021
Current Research and Scholarly Interests1) Healthcare management: I am interested in improving healthcare delivery using data-driven modeling and decision-making.
2) Network models and message-passing algorithms: I work on graphical modeling ideas motivated from statistical physics and their applications in statistical inference.
3) Personalized decision-making: I work on machine learning and statistical challenges of personalized decision-making. The problems that I have worked on are primarily motivated by healthcare applications.
Professor of Developmental Biology, of Computer Science, of Pediatrics (Genetics) and of Biomedical Data Science
Current Research and Scholarly Interests1. Automating monogenic patient diagnosis.
2. The genomic signatures of independent divergent and convergent trait evolution in mammals.
3. The logic of human gene regulation.
4. The reasons for sequence ultraconservation.
5. Cryptogenomics to bridge medical silos.
6. Cryptogenetics to debate social injustice.
7. Managing patient risk using machine learning.
8. Understanding the flow of money in the US healthcare system.
Associate Professor of Medicine (Primary Care and Population Health) and Senior Fellow at the Woods Institute for the Environment
Current Research and Scholarly InterestsEffect of global health policies on health of individuals in developing countries, global health, HIV and TB.
Professor of Pediatrics (Genetics) and, by courtesy, of Genetics
Current Research and Scholarly InterestsMy research is focused on the diagnosis, discovery and delineation of rare genetic conditions with a focus of neurodevelopmental disorders. This work includes the application of novel computational methods and multi-omics profiling (whole genome sequencing, RNA sequencing, metabolomics). I additionally participate in an interdisciplinary project to develop induced pluripotent stem cell (iPSC) models of genetic neurodevelopmental disorders..
Associate Professor of Computer ScienceOn Partial Leave from 10/01/2021 To 06/30/2022
BioMichael Bernstein is an Associate Professor of Computer Science and STMicroelectronics Faculty Scholar at Stanford University, where he is a member of the Human-Computer Interaction group. His research focuses on the design of social computing and crowdsourcing systems. Michael has received eight best paper awards at premier computing venues, and he has been recognized with an NSF CAREER award and an Alfred P. Sloan Fellowship. His Ph.D. students have gone on both to industry (e.g., Adobe Research, Facebook Data Science, entrepreneurship) and faculty careers (e.g., Carnegie Mellon, UC Berkeley). Michael holds a bachelor's degree in Symbolic Systems from Stanford University, as well as a master's degree and a Ph.D. in Computer Science from MIT.
Nomellini and Olivier Professor in the Graduate School of Education
Current Research and Scholarly InterestsStudying the Impact of a Mathematical Mindset Summer Intervention, HapCaps: Design and Validation of Haptic Devices for improving Finger Perception (with engineering & neuroscience) The effectiveness of a student online class (https://lagunita.stanford.edu/courses/Education/EDUC115-S/Spring2014/about) (NSF). Studies on mathematics and mindset with Carol Dweck and Greg Walton (various funders). Studying an online network and it's impact on teaching and learning (Gates foundation)
Assistant Professor of Computer Science
BioJeannette Bohg is an Assistant Professor of Computer Science at Stanford University. She was a group leader at the Autonomous Motion Department (AMD) of the MPI for Intelligent Systems until September 2017. Before joining AMD in January 2012, Jeannette Bohg was a PhD student at the Division of Robotics, Perception and Learning (RPL) at KTH in Stockholm. In her thesis, she proposed novel methods towards multi-modal scene understanding for robotic grasping. She also studied at Chalmers in Gothenburg and at the Technical University in Dresden where she received her Master in Art and Technology and her Diploma in Computer Science, respectively. Her research focuses on perception and learning for autonomous robotic manipulation and grasping. She is specifically interesting in developing methods that are goal-directed, real-time and multi-modal such that they can provide meaningful feedback for execution and learning. Jeannette Bohg has received several awards, most notably the 2019 IEEE International Conference on Robotics and Automation (ICRA) Best Paper Award, the 2019 IEEE Robotics and Automation Society Early Career Award and the 2017 IEEE Robotics and Automation Letters (RA-L) Best Paper Award.
Samsung Professor in the School of 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."
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.
Professor of Biomedical Data Science, of Genetics and, by courtesy, of BiologyOn Leave from 10/01/2021 To 08/30/2022
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.
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.
Associate Professor of Anesthesiology, Perioperative and Pain Medicine (Pediatric)
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.
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
Assistant Professor of Medicine (Biomedical Informatics)
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.
Assistant Professor of Communication and, by courtesy, of Sociology
Current Research and Scholarly InterestsAngèle Christin studies how algorithms and analytics transform professional values, expertise, and work practices.
Her book, Metrics at Work: Journalism and the Contested Meaning of Algorithms (Princeton University Press, 2020) focuses on the case of web journalism, analyzing the growing importance of audience data in web newsrooms in the U.S. and France. Drawing on ethnographic methods, Angèle shows how American and French journalists make sense of traffic numbers in different ways, which in turn has distinct effects on the production of news in the two countries. She discussed it on the New Books Network podcast.
In a related study, she analyzed the construction, institutionalization, and reception of predictive algorithms in the U.S. criminal justice system, building on her previous work on the determinants of criminal sentencing in French courts.
Her new project examines the paradoxes of algorithmic labor through a study of influencers and influencer marketing on YouTube, Instagram, and TikTok.
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.
James G. March Professor of 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
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.
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: https://stevencrane.me/ or our Stanford project website at https://boundariesofhumanity.stanford.edu/
Professor (Teaching) of Pediatrics (Neonatology) and, by courtesy, of Obstetrics and Gynecology
Current Research and Scholarly InterestsI have extensive experience in the development of global health innovations and in working to test and scale-up health interventions. At Stanford University, I am playing a leading role in developing global women and children’s health research and educational programs, including the establishment of a Global Center for Gender Equality at Stanford University. My research focuses on advancing child health and development in low resource settings and advancing gender equality and health globally, and includes several applications of artificial intelligence. Before joining Stanford, I was Senior Fellow at the Bill & Melinda Gates Foundation (BMGF), where I led the development of initiatives to address gender inequalities and empower women and girls. Prior to this role, I served as the BMGF Director of Family Health, leading strategy development and implementation across maternal, newborn and child health, nutrition, and family planning. In this role, I was responsible for investments ranging from scientific discovery to intervention development and delivery of interventions at scale. I worked closely with the Discovery team to shape discovery and development investments and was a co-founder of the Saving Lives at Birth Development Grand Challenge, the Putting Women and Girls at the Center of Development Grand Challenge, and the Healthy Birth, Growth and Development initiative. Based on these experiences, I understand how to identify knowledge gaps and generate evidence of impact for new interventions, and how to utilize evidence to influence the policy dialogue leading to programmatic adoption and scale-up of interventions in low income settings. As Director of Family Health, I also co-led the development and implementation of the BMGF global health strategy for India, which cuts across multiple health and development sectors. Before joining BMGF, I was Associate Professor and Founding Director of the International Center for Advancing Neonatal Health in the Department of International Health at the Johns Hopkins Bloomberg School of Public Health. I led the development of newborn health research, including numerous facility- and community-based maternal and child health research trials. Before joining Johns Hopkins, I was Senior Research Advisor for the $50M Saving Newborn Lives program of Save the Children-US, where I led the development and implementation of the global research strategy for newborn health and survival.
Giulio De Leo
Professor of Biology and Senior Fellow at the Woods Institute for the Environment
Current Research and Scholarly InterestsI am a theoretical ecologist mostly interested in investigating factors and processes driving the dynamics of natural and harvested populations and on how to use this knowledge to inform practical management. I have worked broadly on life histories analysis, fishery management, dynamics and control of infectious diseases and environmental impact assessment.
Senior Fellow at the Freeman Spogli Institute for International Studies and at the Hoover Institution and Professor, by courtesy, of Sociology and of Political Science
Current Research and Scholarly Interestsdemocratic development and regime change; U.S. foreign policy affecting democracy abroad; comparative trends in the quality and stability of democracy in developing countries and postcommunist states; and public opinion in new democracies, especially in East Asia
Associate Professor of Computer Science and, by courtesy, of Molecular and Cellular Physiology and of Structural Biology
Current Research and Scholarly InterestsMy lab’s research focuses on computational biology, with an emphasis on 3D molecular structure. We combine two approaches: (1) Bottom-up: given the basic physics governing atomic interactions, use simulations to predict molecular behavior; (2) Top-down: given experimental data, use machine learning to predict molecular structures and properties. We collaborate closely with experimentalists and apply our methods to the discovery of safer, more effective drugs.
Trione Director of SIEPR, Wayne and Jodi Cooperman Professor and Senior Fellow at the Stanford Institute for Economic Policy Research
BioMark Duggan is a Professor of Economics at Stanford University and a Research Associate at the National Bureau of Economic Research. He received his B.S. and M.S. degrees in Electrical Engineering at M.I.T. in 1992 and 1994, respectively, and his Ph.D. in Economics from Harvard University in 1999. He currently is a Co-Editor at the American Economic Journal: Economic Policy and was previously a Co-Editor at the Journal of Public Economics. Before arriving to Stanford in the summer of 2014, Duggan served on the faculty at the University of Pennsylvania's Wharton School (2011-14), the University of Maryland's Economics Department (2003-11), and the University of Chicago's Economics Department (1999-2003).
Professor Duggan's research focuses primarily on the effect of government expenditure programs such as Social Security, Medicare, and Medicaid on the behavior of individuals and firms. Some of his more recent research is exploring the effect of federal disability programs on the labor market and of changes to the Medicare and Medicaid programs on the cost and quality of health care. He is also estimating the effect of patent reforms in India on the price and utilization of pharmaceutical treatments. His research has been published in leading academic journals including the American Economic Review, the Journal of Political Economy, and the Quarterly Journal of Economics and has been featured in outlets such as The Economist, the New York Times, and the Wall Street Journal.
Professor Duggan was the 2010 recipient of the ASHEcon Medal, which is awarded every two years by the American Society of Health Economists to the economist aged 40 and under in the U.S. who has made the most significant contributions to the field of health economics. Along with his co-author Fiona Scott Morton, he received the National Institute for Health Care Management's 2011 Health Care Research Award for their work on Medicare Part D. He was a Fellow of the Alfred P. Sloan Foundation from 2004 to 2006 and a Visiting Fellow at the Brookings Institution from 2006 to 2007. His research has been funded by the National Science Foundation, the National Institutes of Health, the Social Security Administration, and the Robert Wood Johnson Foundation. Duggan served from 2009 to 2010 as the Senior Economist for Health Care Policy at the White House Council of Economic Advisers and has also been an Expert Witness for the U.S. Department of Justice.