Institute for Human-Centered Artificial Intelligence (HAI)
Showing 101-150 of 243 Results
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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 Clinical Associate Professor at the Byers Eye Institute at Stanford University. Khaderi is the Director/Founder of the Stanford Human Perception Laboratory (HPL) and the Stanford Vision Performance Center (VPC), and faculty at the Stanford Institute for Human-Centered AI.
Khaderi is a renowned Neuro-Ophthalmic surgeon, technologist and futurist. He founded Vizzario Inc, a perceptual AI company, spun out from HPL. Khaderi has extensive domain expertise in artificial intelligence (AI), virtual reality (VR), augmented reality (AR), mixed reality (MxR), wearables, applied neuroscience, human factors, and human-machine interfaces/interaction. His research interests include developing personalized human intelligent systems for the metaverse 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 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
Anand Rajaraman and Venky Harinarayan Professor
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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Christina Langer
Affiliate, Stanford Digital Economy Lab (S-DEL)
BioChristina Langer is a Graduate Research Affiliate at the Stanford Digital Economy Lab. She is also a PhD candidate at KU Eichstaett-Ingolstadt, Guest Researcher at the ifo institute, and Doctoral Researcher at the Project on Workforce at Harvard University.
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Curtis Langlotz
Professor of Radiology (Thoracic Imaging), of Biomedical Informatics Research and of Biomedical Data Science
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.
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Mark Lemley
William Neukom Professor of Law and Senior Fellow at the Stanford Institute for Economic Policy Research
Current Research and Scholarly Interestsintellectual property, Internet, and antitrust law; law and AI/robotics
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Jurij Leskovec
Professor of Computer Science
BioLeskovec's research focuses on the analyzing and modeling of large social and information networks as the study of phenomena across the social, technological, and natural worlds. He focuses on statistical modeling of network structure, network evolution, and spread of information, influence and viruses over networks. Problems he investigates are motivated by large scale data, the Web and other on-line media. He also does work on text mining and applications of machine learning.
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Margaret Levi
Professor of Political Science, Senior Fellow at the Freeman Spogli Institute for International Studies and at the Woods Institute for the Environment
BioMargaret Levi is Professor of Political Science, Senior Fellow, Center on Democracy, Development and the Rule of Law, Freeman Spogli Institute for International Studies, the former Sara Miller McCune Director and current Faculty Fellow of the Center for Advanced Study in the Behavioral Sciences (CASBS), Senior Fellow of the Woods Institute, and co-director of Ethics, Society and Technology, Stanford University. She is Jere L. Bacharach Professor Emerita of International Studies in the Department of Political Science at the University of Washington. She held the Chair in Politics, United States Studies Centre at the University of Sydney, 2009-13. At the University of Washington she was director of the CHAOS (Comparative Historical Analysis of Organizations and States) Center and formerly the Harry Bridges Chair and Director of the Harry Bridges Center for Labor Studies.
Levi is the winner of the 2019 Johan Skytte Prize and 2020 Falling Walls Prize for Breakthrough of the Year in Social Sciences and Humanities. She became a fellow of the National Academy of Sciences in 2015, the British Academy in 2022, the American Academy of Arts and Sciences in 2001, and the American Academy of Political and Social Science in 2017, and the American Philosophical Society in 2018. She was a John Simon Guggenheim Fellow in 2002. She served as president of the American Political Science Association from 2004 to 2005. She is the recipient of the 2014 William H. Riker Prize for Political Science. In 2019 she received an honorary doctorate from Universidad Carlos III de Madrid, 2019.
Levi is the author or coauthor of numerous articles and six books, including Of Rule and Revenue (University of California Press, 1988); Consent, Dissent, and Patriotism (Cambridge University Press, 1997); Analytic Narratives (Princeton University Press, 1998); Cooperation Without Trust? (Russell Sage, 2005), In the Interest of Others (Princeton, 2013), and A Moral Political Economy (Cambridge, 2021). She explores how organizations and governments provoke member willingness to act beyond material interest.
She was general editor of Cambridge Studies in Comparative Politics and remains on the editorial board. She is co-general editor of the Annual Review of Political Science and on the editorial board of PNAS.. Levi serves on the boards of the: Berggruen Institute: Center for Advanced Studies in the Social Sciences (CEACS) in Madrid; Research Council of the Canadian Institute for Advanced Research (CIFAR), and CORE Economics. She is chair of Section 53 of NAS. Levi and her husband, Robert Kaplan, are avid collectors of Australian Aboriginal art. Ancestral Modern, an exhibition drawn from their collection, was on view at the Seattle Art Museum (SAM) in 2012. Yale University Press and SAM co-published the catalogue.
Her fellowships include the Woodrow Wilson in 1968, German Marshall in 1988-9, and the Center for Advanced Study of the Behavioral Sciences in 1993-1994. She has lectured and been a visiting fellow at the Australian National University, the European University Institute, Max Planck Institute in Cologne, the Juan March Institute, the Budapest Collegium, Cardiff University, Oxford University, Bergen University, and Peking University. She was a Phi Beta Kappa Visiting Scholar in 2005-6. She periodically serves as a consultant to the World Bank. -
Fei-Fei Li
Sequoia Capital Professor, Co-Director of the Stanford Institute for Human-Centered Artificial Intelligence (HAI) and Professor, by courtesy, of Operations, Information and Technology at the Graduate School of Business
Current Research and Scholarly InterestsAI, Machine Learning, Computer Vision, Robotics, AI+Healthcare, Human Vision
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Ron Li
Clinical Assistant Professor, Medicine
BioRon Li is a Clinical Assistant Professor of Medicine in the Division of Hospital Medicine and Center for Biomedical Informatics Research at Stanford University School of Medicine. As the Medical Informatics Director for Digital Health at Stanford Health Care, he provides medical and informatics direction for the health system's enterprise digital health portfolio, including expanding digital referral networks and virtual care modalities. He is the co-founder and Director for the Stanford Emerging Applications Lab (SEAL), which helps clinicians and staff build ideas into novel digital products that are prototyped and tested for care delivery at Stanford Health Care. He is also the Head of Content and Education for the Stanford Center for Digital Health, where he is the Director of the Digital Health Fellowship and leads the creation and dissemination of content and educational programs in digital health for Stanford Medicine.
Ron's academic interests focus on the "delivery science" of new technological capabilities such as digital and artificial intelligence in healthcare and how to design, implement, and evaluate new tech enabled models of care delivery. Ron's work spans across multiple disciplines, including clinical medicine, data science, digital health, information technology, design thinking, process improvement, and implementation science. He has consulted for various companies in the digital health and artificial intelligence space and is leading work in AI and user experience research in partnership with Google. He is an attending physician on the inpatient medicine teaching service at Stanford Hospital and is a core faculty for the Stanford Clinical Informatics Fellowship. -
Percy Liang
Associate Professor of Computer Science and, by courtesy, of Statistics
BioPercy Liang is an Associate Professor of Computer Science at Stanford University (B.S. from MIT, 2004; Ph.D. from UC Berkeley, 2011). His two research goals are (i) to make machine learning more robust, fair, and interpretable; and (ii) to make computers easier to communicate with through natural language. His awards include the Presidential Early Career Award for Scientists and Engineers (2019), IJCAI Computers and Thought Award (2016), an NSF CAREER Award (2016), a Sloan Research Fellowship (2015), and a Microsoft Research Faculty Fellowship (2014).
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C. Karen Liu
Associate Professor of Computer Science
BioC. Karen Liu is an associate professor in the Computer Science Department at Stanford University. Prior to joining Stanford, Liu was a faculty member at the School of Interactive Computing at Georgia Tech. She received her Ph.D. degree in Computer Science from the University of Washington. Liu's research interests are in computer graphics and robotics, including physics-based animation, character animation, optimal control, reinforcement learning, and computational biomechanics. She developed computational approaches to modeling realistic and natural human movements, learning complex control policies for humanoids and assistive robots, and advancing fundamental numerical simulation and optimal control algorithms. The algorithms and software developed in her lab have fostered interdisciplinary collaboration with researchers in robotics, computer graphics, mechanical engineering, biomechanics, neuroscience, and biology. Liu received a National Science Foundation CAREER Award, an Alfred P. Sloan Fellowship, and was named Young Innovators Under 35 by Technology Review. In 2012, Liu received the ACM SIGGRAPH Significant New Researcher Award for her contribution in the field of computer graphics.
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Marisa Medina MacAskill
Program Manager - Finance & Research Administration | Faculty & Academic Affairs, Institute for Human-Centered Artificial Intelligence (HAI)
BioMarisa MacAskill joined the Stanford Institute for Human-Centered Artificial Intelligence (HAI) in January 2020. She currently serves as the Program Manager for Finance & Research Administration and Faculty & Academic Affairs after, most recently, filling the role as the inaugural HAI Education Program Manager. Marisa started her career at Stanford in 2017 as the Fellowships and Student Programs Manager for the Center for International Security and Cooperation (CISAC) at the Freeman Spogli Institute for International Studies (FSI) where she delivered academic programming, managed admissions, and supported research and learning opportunities for undergraduate and graduate students, and postdoctoral fellows. Prior to Stanford, Marisa was the Assistant Director for Administration and Programming at the McKinnon Center for Global Affairs at Occidental College where she worked on strategic initiatives, international programming, and student/faculty grants. Marisa also served as a seasonal reader for Oxy’s Admissions Office and as a strategic planning analyst for the Annenberg Foundation Trust at Sunnylands.
Marisa holds an MA in International Relations from the Josef Korbel School of International Studies at the University of Denver and a BA in Spanish Language and Literature from the University of California, Berkeley. -
Katharine (Kate) Maher
Professor of Earth System Science and Senior Fellow at the Woods Institute for the Environment
Current Research and Scholarly InterestsHydrology, reactive transport modeling and environmental geochemistry
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Christopher Manning
Thomas M. Siebel Professor of Machine Learning, Professor of Linguistics and of Computer Science
BioChristopher Manning is a professor of computer science and linguistics at Stanford University, Director of the Stanford Artificial Intelligence Laboratory, and Co-director of the Stanford Human-Centered Artificial Intelligence Institute. He works on software that can intelligently process, understand, and generate human language material. He is a leader in applying Deep Learning to Natural Language Processing, including exploring Tree Recursive Neural Networks, neural network dependency parsing, the GloVe model of word vectors, neural machine translation, question answering, and deep language understanding. He also focuses on computational linguistic approaches to parsing, natural language inference and multilingual language processing, including being a principal developer of Stanford Dependencies and Universal Dependencies. Manning is an ACM Fellow, a AAAI Fellow, an ACL Fellow, and a Past President of ACL. He has coauthored leading textbooks on statistical natural language processing and information retrieval. He is the founder of the Stanford NLP group (@stanfordnlp) and manages development of the Stanford CoreNLP software.
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David J. Maron
C. F. Rehnborg Professor and Professor of Medicine (Stanford Prevention Research Center)
Current Research and Scholarly InterestsDr. Maron is the Co-Chair and Principal Investigator of the ISCHEMIA trial, and Co-Chair of the ISCHEMIA-CKD trial. These large, international, NIH-funded studies will determine whether an initial invasive strategy of cardiac catheterization and revascularization plus optimal medical therapy will reduce cardiovascular events in patients with and without chronic kidney disease and at least moderate ischemia compared to an initial conservative strategy of optimal medical therapy alone.
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Nestor Maslej
Research Manager, Institute for Human-Centered Artificial Intelligence (HAI)
BioNestor Maslej is a Research Manager at Stanford’s Institute for Human-Centered Artificial Intelligence (HAI). In this position, he manages the AI Index and Global AI Vibrancy Tool. Nestor also leads research projects that study AI in the context of technical advancement, ethical concerns and policymaking. In developing tools that track the advancement of AI, Nestor hopes to make the AI space more accessible to policymakers.
Nestor also speaks frequently about trends in AI. He has delivered presentations about the AI Index to teams at the World Economic Forum, Centre for Data Ethics and Innovation and Global Arena Research Institute. Nestor has also testified to the Canadian Parliament’s House of Commons Standing Committee on Access to Information, Privacy and Ethics on the use and impact of facial recognition technology in Canada.
Prior to joining HAI, Nestor worked in Toronto as an analyst in several startups. He graduated from the University of Oxford in 2021 with an MPhil in Comparative Government, where he used machine learning methodologies to study the Canadian Indian Residential schooling system and Harvard College in 2017 with an A.B. in Social Studies. -
Jay McClelland
Lucie Stern Professor in the Social Sciences and Professor, by courtesy, of Linguistics and of Computer Science
Current Research and Scholarly InterestsMy research addresses topics in perception and decision making; learning and memory; language and reading; semantic cognition; and cognitive development. I view cognition as emerging from distributed processing activity of neural populations, with learning occurring through the adaptation of connections among neurons. A new focus of research in the laboratory is mathematical cognition, with an emphasis on the learning and representation of mathematical concepts and relationships.
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Daniel McFarland
Professor of Education and, by courtesy, of Sociology and of Organizational Behavior at the Graduate School of Business
Current Research and Scholarly InterestsThe majority of my current research projects concern the sociology of science and research innovation. Here are some examples of projects we are pursuing:
1. the process of intellectual jurisdiction across fields and disciplines
2. the process of knowledge innovation diffusion in science
3. the propagators of scientific careers and advance
4. the role of identity and diversity on the process of knowledge diffusion and career advance
5. the process of research translation across scientific fields and into practice
6. the formal properties and mechanisms of ideational change (network analysis, or holistic conceptions of scientific propositions and ideas)
7. developing methods for identifying the rediscovery of old ideas recast anew
8. investigating the process of scientific review
I am also heavily involved in research on social networks and social network theory development. Some of my work concerns relational dynamics and cognitive networks as represented in communication. This often concerns the communication of children (in their writings and speech in classrooms) and academic scholars. I am also co-editing a special issue in Social Networks on "network ecology", or a theoretical account of social networks dynamics; a special chapter on education and social networks for Cambridge Press; and I am a coauthor on a social network methods textbook coming out with Cambridge Press (Forthcoming, by Craig Rawlings, Jeff Smith, James Moody and Daniel McFarland).
Last, I am heavily involved in institutional efforts to develop computational social science, computational sociology, and education data science on Stanford's campus. -
Arnold Milstein
Professor of Medicine (General Medical Discipline)
Current Research and Scholarly InterestsDesign national demonstration of innovations in care delivery that provide more with less. Informed by research on AI-assisted clinical workflow, positive value outlier analysis and triggers of loss aversion bias among patients and clinicians.
Research on creation of a national index of health system productivity gain. -
William Mitch
Professor of Civil and Environmental Engineering
BioBill Mitch received a B.A. in Anthropology (Archaeology) from Harvard University in 1993. During his studies, he excavated at Mayan sites in Belize and surveyed sites dating from 2,000 B.C. in Louisiana. He switched fields by receiving a M.S. degree in Civil and Environmental Engineering at UC Berkeley. He worked for 3 years in environmental consulting, receiving his P.E. license in Civil Engineering in California. Returning to UC Berkeley in 2000, he received his PhD in Civil and Environmental Engineering in 2003. He moved to Yale as an assistant professor after graduation. His dissertation received the AEESP Outstanding Doctoral Dissertation Award in 2004. At Yale, he serves as the faculty advisor for the Yale Student Chapter of Engineers without Borders. In 2007, he won a NSF CAREER Award. He moved to Stanford University as an associate professor in 2013.
Employing a fundamental understanding of organic chemical reaction pathways, his research explores links between public health, engineering and sustainability. Topics of current interest include:
Public Health and Emerging Carcinogens: Recent changes to the disinfection processes fundamental to drinking and recreational water safety are creating a host of highly toxic byproducts linked to bladder cancer. We seek to understand how these compounds form so we can adjust the disinfection process to prevent their formation.
Global Warming and Oceanography: Oceanic dissolved organic matter is an important global carbon component, and has important impacts on the net flux of CO2 between the ocean and atmosphere. We seek to understand some of the important abiotic chemical reaction pathways responsible for carbon turnover.
Sustainability and Persistent Organic Pollutants (POPs): While PCBs have been banned in the US, we continue to produce a host of structurally similar chemicals. We seem to understand important chemical pathways responsible for POP destruction in the environment, so we can design less persistent and problematic chemicals in the future.
Engineering for Sustainable Wastewater Recycling: The shortage of clean water represents a critical challenge for the next century, and has necessitated the recycling of wastewater. We seek to understand ways of engineer this process in ways to minimize harmful byproduct formation.
Carbon Sequestration: We are evaluating the formation of nitrosamine and nitraminecarcinogens from amine-based carbon capture, as well as techniques to destroy any of these byproducts that form. -
John Mitchell
Mary and Gordon Crary Family Professor in the School of Engineering, and Professor, by courtesy, of Electrical Engineering and of Education
Current Research and Scholarly InterestsProgramming languages, computer security and privacy, blockchain, machine learning, and technology for education
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Benoit Monin
Bowen H. and Janice Arthur McCoy Professor of Leadership Values and Professor of Psychology
Current Research and Scholarly InterestsMy research deals with how people address threats to the self in interpersonal situations: How they avoid feeling prejudiced, how they construe other people's behavior to make to their own look good, how they deal with dissonance, how they affirm a threatened identity, how they resent the goodness of others when it makes them look bad, etc. I study these issues in the context of social norms, the self, and morality, broadly defined.
