Institute for Human-Centered Artificial Intelligence (HAI)
Showing 1-100 of 188 Results
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Ehsan Adeli
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.
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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.
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Maneesh Agrawala
Forest Baskett Professor and Professor, by courtesy, of Electrical Engineering
Current Research and Scholarly InterestsComputer Graphics, Human Computer Interaction and Visualization.
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Russ B. Altman
Kenneth Fong Professor and Professor of Bioengineering, of Genetics, of Medicine, of Biomedical Data Science, Senior Fellow at the Stanford Institute for HAI and Professor, by courtesy, of Computer Science
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/
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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.
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Euan A. Ashley
Associate Dean, School of Medicine, Roger and Joelle 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.
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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, Senior Fellow at Woods and Professor, by courtesy, of Psychiatry and Behavioral Science
Current Research and Scholarly InterestsAreas of research
Ethical Aspects of research conducted overseas
Clinical Tropical Diseases
Globalization's Impact upon Health Disparities
Hemorrhagic Viruses -
Heidi Baumgartner
ManyBabies Executive Director
Current Research and Scholarly InterestsAs the executive director of the ManyBabies global consortium (manybabies.org), I am interested in facilitating Big Team Science practices to address difficult outstanding theoretical and methodological questions about the nature of early development and how it is studied.
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Mohsen Bayati
Carl and Marilynn Thoma Professor in the Graduate School of Business and Professor, by courtesy, of Electrical Engineering
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. -
Gill Bejerano
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. -
Eran Bendavid
Associate Professor of Medicine (Primary Care and Population Health), of Health Policy, Senior Fellow at the Woods Institute for the Environment and, by courtesy, at the Freeman Spogli Institute for International Studies
Current Research and Scholarly InterestsEffect of global health policies on health of individuals in developing countries, global health, HIV and TB.
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Jon Bernstein
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..
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Michael Bernstein
Associate Professor of Computer Science
BioMichael Bernstein is an Associate Professor of Computer Science at Stanford University, where he is a Bass University Fellow and STMicroelectronics Faculty Scholar. His research in human-computer interaction focuses on the design of social computing systems. This research has won best paper awards at top conferences in human-computer interaction, including CHI, CSCW, ICWSM, and UIST, and has been reported in venues such as The New York Times, Science, Wired, and The Guardian. Michael has been recognized with an Alfred P. Sloan Fellowship, UIST Lasting Impact Award, and the Patrick J. McGovern Tech for Humanity Prize. He 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.
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Jo Boaler
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)
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Jeannette Bohg
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.
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Stephen Boyd
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, and a 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.
He 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. In 2023, he was given the AACC Richard E. Bellman Control Heritage Award, the highest recognition of professional achievement for U.S. control systems engineers and scientists. He is a Fellow of the IEEE, SIAM, INFORMS, and IFAC, 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. 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
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.
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Jef Caers
Professor of Earth and Planetary Sciences and, by courtesy, of Geophysics
Current Research and Scholarly InterestsMy research focuses on assuring 100% renewable energy through development of geothermal energy and critical mineral supply, developing approaches from data acquisition to decision making under uncertainty and risk assessment.
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Danton Char
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.
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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.
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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.
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Angele Christin
Associate 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. -
Geoffrey Cohen
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. -
Nicholas Alvaro Coles
Research Scientist
BioI am a Research Scientist at Stanford University and the co-Director of the Stanford Big Team Science Lab. I conduct research on emotions, big team science, and AI.
In affective science, I seek to understand the social, cognitive, and physiological processes that underlie emotion. Much of my research here has focused on examining the extent to which sensorimotor feedback from the peripheral nervous system (e.g., changes in heart rate and muscle tension) impact the conscious experience of emotion.
In big team science, I seek to build infrastructure that allows researchers to collaboratively tackle ultra-complex questions in science. In this domain, I co-direct the Stanford Big Team Science Lab, where I support various big team science initiatives (e.g., the Virtual Experience Research Accelerator, Psychological Science Accelerator, and ManyBabies Consortium).
In artificial intelligence, I am interested in ways that these new technologies can be used to monitor, predict, and change humans' emotions. For example, I recently founded the Emotion Physiology and Experience Collaboration, which seeks to improve the algorithmic recognition of emotion by (a) documenting cultural and contextual sources of model bias, and (b) building foundational datasets that can improve these models. -
Steven Hartley Collins
Associate Professor of Mechanical Engineering and, by courtesy, of Bioengineering
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. -
Gary Darmstadt
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.
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Giulio De Leo
Professor of Oceans, of Earth System Science, Senior Fellow at the Woods Institute for the Environment and Professor, by courtesy of Biology
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.
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Larry Diamond
Mosbacher Senior Fellow of Global Democracy at the Freeman Spogli Institute for International Studies, Senior Fellow 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
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Ron Dror
Cheriton Family Professor and Professor, by courtesy, of Structural Biology and of Molecular & Cellular Physiology
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.
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Mark Duggan
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. -
Rob Dunbar
W.M. Keck Professor in the School of Earth Sciences, Professor of Oceans, of Earth System Science and Senior Fellow at the Woods Institute for the Environment
Current Research and Scholarly InterestsOcean processes, biogeochemistry, climatology/paleoclimatology, isotopic chemistry, ocean policy
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Jennifer Eberhardt
Morris M. Doyle Centennial Professor of Public Policy, William R. Kimball Professor at the Graduate School of Business, Professor of Psychology and by courtesy, of Law
Current Research and Scholarly InterestsMy research is on race and inequality. I am especially interested in examining race and inequality in the criminal justice context. My most recent research focuses on how the association of African Americans with crime might matter at different points in the criminal justice system and how this association can affect us in surprising ways.
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David Freeman Engstrom
Professor of Law
BioDavid Freeman Engstrom is the LSVF Professor in Law and Co-Director of the Deborah L. Rhode Center on the Legal Profession at Stanford Law School. He is a scholar of public law, complex organizations, and political economy whose research and teaching explore problems in litigation procedure, administrative law, artificial intelligence and the law, constitutional law, civil rights, and access to courts. He is a faculty affiliate at the Stanford Institute for Human-Centered Artificial Intelligence, the Regulation, Evaluation, and Governance Lab (RegLab), and CodeX: The Stanford Center for Legal Informatics. Engstrom currently serves as the Reporter for the American Law Institute’s Principles of the Law, High-Volume Civil Adjudication. He co-founded the Filing Fairness Project, a multi-state effort to modernize court filing systems and widen access to our courts. He is an elected member of the American Law Institute, a Public Member of the Administrative Conference of the United States (ACUS), and a Fellow of the American Bar Foundation. Prior to joining the Stanford faculty, he was a litigator at a boutique D.C. law firm, where he represented clients before the U.S. Supreme Court and other courts and agencies, and clerked for Judge Diane P. Wood on the U.S. Court of Appeals for the Seventh Circuit.
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Stefano Ermon
Associate Professor of Computer Science and Senior Fellow at the Woods Institute for the Environment
BioI am an Assistant Professor in the Department of Computer Science at Stanford University, where I am affiliated with the Artificial Intelligence Laboratory and a fellow of the Woods Institute for the Environment.
My research is centered on techniques for scalable and accurate inference in graphical models, statistical modeling of data, large-scale combinatorial optimization, and robust decision making under uncertainty, and is motivated by a range of applications, in particular ones in the emerging field of computational sustainability. -
Chelsea Finn
Assistant Professor of Computer Science and of Electrical Engineering
On Partial Leave from 04/01/2024 To 06/30/2024BioChelsea Finn is an Assistant Professor in Computer Science and Electrical Engineering at Stanford University, and the William George and Ida Mary Hoover Faculty Fellow. Professor Finn's research interests lie in the ability to enable robots and other agents to develop broadly intelligent behavior through learning and interaction. Her work lies at the intersection of machine learning and robotic control, including topics such as end-to-end learning of visual perception and robotic manipulation skills, deep reinforcement learning of general skills from autonomously collected experience, and meta-learning algorithms that can enable fast learning of new concepts and behaviors. Professor Finn received her Bachelors degree in Electrical Engineering and Computer Science at MIT and her PhD in Computer Science at UC Berkeley. Her research has been recognized through the ACM doctoral dissertation award, an NSF graduate fellowship, a Facebook fellowship, the C.V. Ramamoorthy Distinguished Research Award, and the MIT Technology Review 35 under 35 Award, and her work has been covered by various media outlets, including the New York Times, Wired, and Bloomberg. Throughout her career, she has sought to increase the representation of underrepresented minorities within CS and AI by developing an AI outreach camp at Berkeley for underprivileged high school students, a mentoring program for underrepresented undergraduates across three universities, and leading efforts within the WiML and Berkeley WiCSE communities of women researchers.
Website: https://ai.stanford.edu/~cbfinn -
James Fishkin
Janet M. Peck Professor of International Communication, Senior Fellow at the Freeman Spogli Institute for International Studies and Professor, by courtesy, of Political Science
BioJames S. Fishkin holds the Janet M. Peck Chair in International Communication at Stanford University where he is Professor of Communication, Professor of Political Science (by courtesy) and Director of the Deliberative Democracy Lab.
He received his B.A. from Yale in 1970 and holds a Ph.D. in Political Science from Yale as well as a second Ph.D. in Philosophy from Cambridge.
He is the author of Democracy When the People Are Thinking (Oxford 2018), When the People Speak (Oxford 2009), Deliberation Day (Yale 2004 with Bruce Ackerman) and Democracy and Deliberation (Yale 1991).
He is best known for developing Deliberative Polling® – a practice of public consultation that employs random samples of the citizenry to explore how opinions would change if they were more informed. His work on deliberative democracy has stimulated more than 100 Deliberative Polls in 28 countries around the world. It has been used to help governments and policy makers make important decisions in Texas, China, Mongolia, Japan, Macau, South Korea, Bulgaria, Brazil, Uganda and other countries around the world.
He is a Fellow of the American Academy of Arts and Sciences, a Guggenheim Fellow, a Fellow of the Center for Advanced Study in the Behavioral Sciences at Stanford, and a Visiting Fellow Commoner at Trinity College, Cambridge. -
Sean Follmer
Associate Professor of Mechanical Engineering and, by courtesy, of Computer Science
Current Research and Scholarly InterestsHuman Computer Interaction, Haptics, Robotics, Human Centered Design
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Michael Frank
Benjamin Scott Crocker Professor of Human Biology and Professor, by courtesy, of Linguistics
Current Research and Scholarly InterestsHow do we learn to communicate using language? I study children's language learning and how it interacts with their developing understanding of the social world. I use behavioral experiments, computational tools, and novel measurement methods like large-scale web-based studies, eye-tracking, and head-mounted cameras.
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Takako Fujioka
Associate Professor of Music
BioResearch topics include neural oscillations for auditory perception, auditory-motor coupling, brain plasticity in development and aging, and recovery from stroke with music-supported therapy.
Her post-doctoral and research-associate work at Rotman Research Institute in Toronto was supported by awards from the Canadian Institutes of Health Research. Her research continues to explore the biological nature of human musical ability by examining brain activities with non-invasive human neurophysiological measures such as magnetoencephalography (MEG) and electroencephalography (EEG). -
Francis Fukuyama
Olivier & Nomellini Senior Fellow in International Studies at the Freeman Spogli Institute for International Studies and Professor, by courtesy, of Political Science
Current Research and Scholarly InterestsDeveloping nations; governance; international political economy; nation-building and democratization; strategic and security issues
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Surya Ganguli
Associate Professor of Applied Physics, Senior Fellow at the Stanford Institute for HAI and Associate Professor, by courtesy, of Neurobiology and of Electrical Engineering
Current Research and Scholarly InterestsTheoretical / computational neuroscience
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Justin Gardner
Associate Professor of Psychology
Current Research and Scholarly InterestsHow does neural activity in the human cortex create our sense of visual perception? We use a combination of functional magnetic resonance imaging, computational modeling and analysis, and psychophysical measurements to link human perception to cortical brain activity.
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Michael Genesereth
Associate Professor of Computer Science and, by courtesy, of Law
BioGenesereth is most known for his work on Computational Logic and applications of that work in Enterprise Management, Computational Law, and General Game Playing. He is one of the founders of Teknowledge, CommerceNet, Mergent Systems, and Symbium. Genesereth is the director of the Logic Group at Stanford and the founder and research director of CodeX - the Stanford Center for Legal Informatics.
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Michael Gensheimer
Clinical Associate Professor, Radiation Oncology - Radiation Therapy
Current Research and Scholarly InterestsIn addition to my clinical research in head and neck and lung cancer, I work on the application of computer science and machine learning to cancer research. I develop tools for analyzing large datasets to improve outcomes and safety of cancer treatment. I developed a machine learning prognostic model using data from around 13,000 patients with metastatic cancer which performs better than traditional models and physicians [PubMed ID 33313792]. We recently completed a prospective randomized study in thousands of patients in which the model was used to help improve advance care planning conversations.
I also work on the methods underpinning observational and predictive modeling research. My open source nnet-survival software that allows use of neural networks for survival modeling has been used by researchers internationally. In collaboration with the Stanford Research Informatics Center, I examined how electronic medical record (EMR) survival outcome data compares to gold-standard data from a cancer registry [PubMed ID 35802836]. The EMR data captured less than 50% of deaths, a finding that affects many studies being published that use EMR outcomes data. -
Ashish Goel
Professor of Management Science and Engineering and, by courtesy, of Computer Science
BioAshish Goel is a Professor of Management Science and Engineering and (by courtesy) Computer Science at Stanford University. He received his PhD in Computer Science from Stanford in 1999, and was an Assistant Professor of Computer Science at the University of Southern California from 1999 to 2002. His research interests lie in the design, analysis, and applications of algorithms.
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Henry T. (Hank) Greely
Deane F. and Kate Edelman Johnson Professor of Law and, Professor, by courtesy, of Genetics
Current Research and Scholarly InterestsSince 1992 my work has concentrated on ethical, legal, and social issues in the biosciences. I am particularly active on issues arising from neuroscience, human genetics, and stem cell research, with cross-cutting interests in human research protections, human biological enhancement, and the future of human reproduction.
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David Grusky
Edward Ames Edmonds Professor of Economics and Senior Fellow at the Stanford Institute for Economic Policy Research
BioDavid B. Grusky is Barbara Kimball Browning Professor in the School of Humanities and Sciences, Director of the Stanford Center on Poverty and Inequality, and coeditor of Pathways Magazine. His research addresses the changing structure of late-industrial inequality and addresses such topics as (a) the role of rent-seeking and market failure in explaining the takeoff in income inequality, (b) the amount of economic and social mobility in the U.S. and other high-inequality countries (with a particular focus on the “Great Gatsby” hypothesis that opportunities for social mobility are declining), (c) the role of essentialism in explaining the persistence of extreme gender inequality, (d) the forces behind recent changes in the amount of face-to-face and online cross-class contact, and (e) the putative decline of big social classes. He is also involved in projects to improve the country’s infrastructure for monitoring poverty, inequality, and mobility by exploiting administrative and other forms of “big data” more aggressively. His recent books include Social Stratification (2014), Occupy the Future (2013), The New Gilded Age (2012), The Great Recession (2011), The Inequality Reader (2011), and The Inequality Puzzle (2010).
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Leonidas Guibas
Paul Pigott Professor of Engineering and Professor, by courtesy, of Electrical Engineering
Current Research and Scholarly InterestsGeometric and topological data analysis and machine learning. Algorithms for the joint analysis of collections of images, 3D models, or trajectories. 3D reconstruction.
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Hyowon Gweon
Associate Professor of Psychology
BioHyowon (Hyo) Gweon (she/her) is an Associate Professor in the Department of Psychology. As a leader of the Social Learning Lab, Hyo is broadly interested in how humans learn from others and help others learn: What makes human social learning so powerful, smart, and distinctive? Taking an interdisciplinary approach that combines developmental, computational, and neuroimaging methods, her research aims to explain the cognitive underpinnings of distinctively human learning, communication, and prosocial behaviors.
Hyo received her PhD in Cognitive Science (2012) from MIT, where she continued as a post-doc before joining Stanford in 2014. She has been named as a Richard E. Guggenhime Faculty Scholar (2020) and a David Huntington Dean's Faculty Scholar (2019); she is a recipient of the APS Janet Spence Award for Transformative Early Career Contributions (2020), Jacobs Early Career Fellowship (2020), James S. McDonnell Scholar Award for Human Cognition (2018), APA Dissertation Award (2014), and Marr Prize (best student paper, Cognitive Science Society 2010). -
Jens Hainmueller
Kimberly Glenn Professor and Professor of Political Science
BioJens Hainmueller is the Kimberly Glenn Professor in Political Science and Director of Graduate Studies of the Department of Political Science at Stanford University. He is the Faculty Co-Director of the Stanford Immigration Policy Lab that is focused on the design and evaluation of immigration and integration policies and programs.
His research interests include statistical methods, causal inference, immigration, and political economy. He has published over 65 articles, many of them in top general science journals (e.g. Science, Nature, PNAS) and top field journals in political science, statistics, economics, and business. His statistical methods are used by organizations to conduct causal inferences in various settings. He has also published multiple open source software packages. His research has received funding from organizations such as Schmidt Futures, the Robin Hood Foundation, the Robert Wood Johnson Foundation, the National Science Foundation, the National Institute of Health, and the National Bureau of Economic Research. His research has won various awards including the Gosnell Prize for Excellence in Political Methodology, the Warren Miller Prize, the Robert H. Durr award, and the Emerging Scholar award by the Society of Political Methodology. He was selected as an Andrew Carnegie Fellow and inducted as a Fellow of the Society of Political Methodology. He has received an honorary degree from the European University Institute (EUI).
Hainmueller received his PhD from Harvard University and also studied at the London School of Economics, Brown University, and the University of Tübingen. Before joining Stanford, he served on the faculty of the Massachusetts Institute of Technology. -
Eric Hanushek
Paul and Jean Hanna Senior Fellow at the Hoover Institution and Professor, by courtesy, of Education
BioEric Hanushek is the Paul and Jean Hanna Senior Fellow at the Hoover Institution of Stanford University. He is internationally recognized for his economic analysis of educational issues, and his research has broadly influenced education policy in both developed and developing countries. In recognition of his outstanding contributions to the field, he was awarded the prestigious Yidan Prize for Education Research in 2021. His extensive and well-cited body of work encompasses many pivotal topics within education, including class size reduction, school accountability, and teacher effectiveness. His pioneering exploration into teacher effectiveness, quantified through students' learning gains, laid the foundation for the widespread adoption of value-added measures in evaluating educators and institutions. His seminal book, The Knowledge Capital of Nations: Education and the Economics of Growth, establishes the close relationship between a nation's long-term economic growth and the skill levels of its populace. His scholarly contributions include twenty-six books and over 300 articles contributing to knowledge within the field. He is a Distinguished Graduate of the United States Air Force Academy and completed his Ph.D. in economics at the Massachusetts Institute of Technology. (https://hanushek.stanford.edu/)
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Gabriella M. Harari
Assistant Professor of Communication
BioGabriella Harari is an Assistant Professor in the Department of Communication at Stanford University, where she directs the Media and Personality Lab.
She studies how personality is expressed in the physical and digital contexts of everyday life. Much of her research is focused on understanding what digital technologies reveal about who we are, and how use of digital technologies shapes who we are. Her current projects analyze people’s everyday behavioral patterns (e.g., social interactions, mobility) and environmental contexts (e.g., places visited, social media platforms) to show how they are associated with individual differences in personality and well-being.
Harari takes an ecological approach to conducting her research, emphasizing the importance of studying people and their behavior in natural contexts. To that end, she conducts intensive longitudinal field studies and is interested in mobile sensing methods and analytic techniques that combine approaches from the social and computer sciences. For example, methodologies she uses in her work in include surveys, experience sampling, longitudinal modeling, mobile sensing, data mining, and machine learning.
Harari completed a Postdoctoral Fellowship and earned her PhD at the Department of Psychology at The University of Texas at Austin. She completed her BA in Psychology & Humanities from Florida International University, where she was also a Ronald E. McNair Scholar. Her work has been published in academic outlets such as Perspectives in Psychological Science, Journal of Personality and Social Psychology, and the Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT). Her work has also been supported by the National Science Foundation and Stanford HAI Seed Grant Awards. -
Pamela Hinds
Rodney H. Adams Professor in the School of Engineering, Fortinet Founders Chair of the Department of Management Science and Engineering and Professor of Management Science and Engineering
BioPamela J. Hinds is Fortinet Founders Chair and Professor of Management Science & Engineering, Co-Director of the Center on Work, Technology, and Organization and on the Director's Council for the Hasso Plattner Institute of Design. She studies the effect of technology on teams, collaboration, and innovation. Pamela has conducted extensive research on the dynamics of cross-boundary work teams, particularly those spanning national borders. She explores issues of culture, language, identity, conflict, and the role of site visits in promoting knowledge sharing and collaboration. She has published extensively on the relationship between national culture and work practices, particularly exploring how work practices or technologies created in one location are understood and employed at distant sites. Pamela also has a body of research on human-robot interaction in the work environment and the dynamics of human-robot teams. Most recently, Pamela has been looking at the changing nature of work in the face of emerging technologies, including the nature of coordination in open innovation, changes in work and organizing resulting from 3D-printing, and the work of data analysts. Her research has appeared in journals such as Organization Science, Research in Organizational Behavior, Academy of Management Journal, Academy of Management Annals, Academy of Management Discoveries, Human-Computer Interaction, Journal of Applied Psychology, Journal of Experimental Psychology: Applied, and Organizational Behavior and Human Decision Processes. Pamela is a Senior Editor of Organization Science. She is also co-editor with Sara Kiesler of the book Distributed Work (MIT Press). Pamela holds a Ph.D. in Organizational Science and Management from Carnegie Mellon University.
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Daniel Ho
William Benjamin Scott & Luna M. Scott Professor of Law, Professor of Political Science, Senior Fellow at the Stanford Institute for Economic Policy Research, at the Stanford Institute for HAI and Professor, by courtesy, of Computer Science
BioDaniel E. Ho is the William Benjamin Scott and Luna M. Scott Professor of Law, Professor of Political Science, Professor of Computer Science (by courtesy), Senior Fellow at Stanford's Institute for Human-Centered Artificial Intelligence, and Senior Fellow at the Stanford Institute for Economic Policy Research at Stanford University. He is a Faculty Fellow at the Center for Advanced Study in the Behavioral Sciences and is Director of the Regulation, Evaluation, and Governance Lab (RegLab). Ho serves on the National Artificial Intelligence Advisory Commission (NAIAC), advising the White House on artificial intelligence, as Senior Advisor on Responsible AI at the U.S. Department of Labor, and as a Public Member of the Administrative Conference of the United States (ACUS). He received his J.D. from Yale Law School and Ph.D. from Harvard University and clerked for Judge Stephen F. Williams on the U.S. Court of Appeals, District of Columbia Circuit.
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Jackelyn Hwang
Assistant Professor of Sociology
BioJackelyn Hwang is an Assistant Professor in the Department of Sociology and a faculty affiliate at the Center for Comparative Studies in Race and Ethnicity and the Urban Studies Program. Jackelyn’s main research interests are in the fields of urban sociology, race and ethnicity, immigration, and inequality. In particular, her research examines the relationship between how neighborhoods change and the persistence of neighborhood inequality by race and class in US cities. Her current projects focus on the causes and consequences of gentrification and developing automated methods for measuring neighborhood change using Google Street View imagery.
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 Sociological Review, Demography, Social Forces, 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 and, by courtesy, of Electrical Engineering and of Computer Science
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
BioAmit Kaushal, MD, PhD is Clinical Associate Professor of Medicine (Stanford-VA) and Adjunct Professor of Bioengineering at Stanford University. Dr. Kaushal's work spans clinical medicine, teaching, research, and industry.
He helped launch Stanford School of Engineering's undergraduate major in Biomedical Computation (bmc.stanford.edu) and has served as long-time director of the major. The major has graduated over 70 students since inception and was recently featured in Nature (https://go.nature.com/2P2UnRu).
His research interests are in utilizing health data in novel and ethical ways to improve the practice of medicine. He is a faculty executive member of Stanford's Partnership for AI-Assisted Care (aicare.stanford.edu). Recently, he has also been working with public health agencies to improve scale and speed of contact tracing for COVID-19.
He has previously held executive and advisory roles at startups working at the interface of technology and healthcare.
He continues to practice as an academic hospitalist.
Dr. Kaushal completed his BS (Biomedical Computation), MD, PhD (Biomedical Informatics), and residency training at Stanford. He is board-certified in Internal Medicine and Clinical Informatics. -
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 to design and develop human-centric technologies. 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 the Global Esports Federation, Magic Leap, Riot Games, Intel, Activision, Unity, Epic Games, Google, FB, Microsoft, Apple, NBA, Aerie Pharma, the World Health Organization, 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.
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Jennifer King
HAI Privacy and Data Policy Fellow
Current Research and Scholarly InterestsI research information privacy from the user's perspective (HCI) across multiple domains, including: online commercial contexts, IoT/Ubicomp, human genetics. I conduct both theoretical and applied privacy research, with a focus on the impacts of law and policy on privacy. My dissertation research explored the effects of social structures (such as power differentials) on individuals' decisions to disclose personal information in commercial contexts.
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Brian Knutson
Professor of Psychology
Current Research and Scholarly InterestsMy lab and I seek to elucidate the neural basis of emotion (affective neuroscience), and explore implications for decision-making (neuroeconomics) and psychopathology (neurophenomics).
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Mykel Kochenderfer
Associate Professor of Aeronautics and Astronautics and, by courtesy, of Computer Science
BioMykel Kochenderfer is Associate Professor of Aeronautics and Astronautics at Stanford University. Prior to joining the faculty, he was at MIT Lincoln Laboratory where he worked on airspace modeling and aircraft collision avoidance, with his early work leading to the establishment of the ACAS X program. He received a Ph.D. from the University of Edinburgh and B.S. and M.S. degrees in computer science from Stanford University. Prof. Kochenderfer is the director of the Stanford Intelligent Systems Laboratory (SISL), conducting research on advanced algorithms and analytical methods for the design of robust decision making systems. Of particular interest are systems for air traffic control, unmanned aircraft, and other aerospace applications where decisions must be made in uncertain, dynamic environments while maintaining safety and efficiency. Research at SISL focuses on efficient computational methods for deriving optimal decision strategies from high-dimensional, probabilistic problem representations. He is an author of "Decision Making under Uncertainty: Theory and Application" (2015), "Algorithms for Optimization" (2019), and "Algorithms for Decision Making" (2022), all from MIT Press. He is a third generation pilot.
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Michal Kosinski
Associate Professor of Organizational Behavior at the Graduate School of Business
BioPlease visit: http://www.michalkosinski.com/
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Anshul Kundaje
Associate Professor of Genetics
Current Research and Scholarly InterestsWe develop statistical and machine learning frameworks to learn predictive, dynamic and causal models of gene regulation from heterogeneous functional genomics data.
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Monica Lam
Kleiner Perkins, Mayfield, Sequoia Capital Professor in the School of Engineering and Professor, by courtesy, of Electrical Engineering
BioDr. Monica Lam is a Professor in the Computer Science Department at Stanford University, and the Faculty Director of the Stanford Open Virtual Assistant Laboratory. Dr. Monica Lam obtained her BS degree in computer science from University of British Columbia, and her PhD degree in computer science from Carnegie Mellon University in 1987. She joined Stanford in 1988.
Professor Lam's current research is on conversational virtual assistants with an emphasis on privacy protection. Her research uses deep learning to map task-oriented natural language dialogues into formal semantics, represented by a new executable programming language called ThingTalk. Her Almond virtual assistant, trained on open knowledge graphs and IoT API standards, can be easily customized to perform new tasks. She is leading an Open Virtual Assistant Initiative to create the largest, open, crowdsourced language semantics model to promote open access in all languages. Her decentralized Almond virtual assistant that supports fine-grain sharing with privacy has received Popular Science's Best of What's New Award in Security in 2019.
Prof. Lam is also an expert in compilers for high-performance machines. Her pioneering work of affine partitioning provides a unifying theory to the field of loop transformations for parallelism and locality. Her software pipelining algorithm is used in commercial systems for instruction level parallelism. Her research team created the first, widely adopted research compiler, SUIF. She is a co-author of the classic compiler textbook, popularly known as the “dragon book”. She was on the founding team of Tensilica, now a part of Cadence.
Dr. Lam is a Member of the National Academy of Engineering and an Association of Computing Machinery (ACM) Fellow. -
Eric Lambin
George and Setsuko Ishiyama Provostial Professor and Senior Fellow at the Woods Institute for the Environment
Current Research and Scholarly InterestsI study human-environment interactions in land systems by linking remote sensing, GIS and socio-economic data. I aim at better understanding causes and impacts of changes in tropical forests, drylands, and farming systems. I currently focus on land use transitions – i.e., the shift from deforestation (or land degradation) to reforestation (or land sparing for nature), – the influence of globalization on land use decisions, and the interactions between public and private governance of land use.
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James Landay
Denning Co-Director (Acting) of Stanford HAI, Anand Rajaraman and Venky Harinarayan Professor and Senior Fellow at the Stanford Institute for HAI
Current Research and Scholarly InterestsLanday's current research interests include Technology to Support Behavior Change (especially for health and sustainability), Demonstrational User Interfaces, Mobile & Ubiquitous Computing, Cross-Cultural Interface Design, Human-Centered AI, and User Interface Design Tools. He has developed tools, techniques, and a top professional book on Web Interface Design.
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Curtis Langlotz
Professor of Radiology (Thoracic Imaging), of Biomedical Informatics Research, of Biomedical Data Science and Senior Fellow at the Stanford Institute for HAI
Current Research and Scholarly InterestsI am interested in the use of deep neural networks and other machine learning technologies to help radiologists detect disease and eliminate diagnostic errors. My laboratory is developing deep neural networks that detect and classify disease on medical images. We also develop natural language processing methods that use the narrative radiology report to create large annotated image training sets for supervised machine learning experiments.
