Symbolic Systems
Showing 101-200 of 288 Results
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Keren Haroush
Assistant Professor of Neurobiology
Current Research and Scholarly InterestsOur laboratory studies the mechanisms by which highly complex behaviors are mediated at the neuronal level, mainly focusing on the example of dynamic social interactions and the neural circuits that drive them. From dyadic interactions to group dynamics and collective decision making, the lab seeks a mechanistic understanding for the fundamental building blocks of societies, such as cooperation, empathy, fairness and reciprocity.
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Robert Hawkins
Assistant Professor of Linguistics and, by courtesy, of Psychology
BioI direct the Social Interaction & Language (SoIL) Lab at Stanford University. We're interested in the cognitive mechanisms that allow people to flexibly communicate, collaborate, and coordinate with one another. We work on these problems using large-scale, multi-player web experiments and computational models of language and social reasoning.
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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 Rodney H. Adams Professor in the School of Engineering, 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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Susan Holmes
Professor of Statistics, Emerita
Current Research and Scholarly InterestsOur lab has been developing tools for the analyses of complex data structures, extending work on multivariate data to structured multitable table that include graphs, networks and trees as well as categorical and continuous measurements.
We created and support the Bioconductor package phyloseq for the analyses of microbial ecology data from the microbiome. We have specialized in developing interactive graphical visualization tools for doing reproducible research in biology. -
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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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, Senior Fellow at the Stanford Institute for Human-Centered AI and Associate Professor, 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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James Landay
Denning Co-Director of Stanford Institute for Human-Centered AI, Anand Rajaraman and Venky Harinarayan Professor and Senior Fellow at the Stanford Institute for Human-Centered AI
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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Victor R. Lee
Associate Professor of Education
Current Research and Scholarly InterestsAI literacy, data literacy, quantified self, maker education, conceptual change in science, elementary computer science education
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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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Marc Levoy
VMware Founders Professor in Computer Science and Professor of Electrical Engineering, Emeritus
BioLevoy's current interests include the science and art of photography, computational photography, light field sensing and display, and applications of computer graphics in microscopy and biology.
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Yujen Lin
Undergraduate, Art & Art History
Ug Oral Comm Tutor, Hume Center
Undergraduate, Symbolic SystemsBioHello! I'm Yujen Lin and I'm a part of Stanford's class of 2027. I plan to pursue business and entrepreneurship. Currently, I am looking to be a double major in Symbolic Systems and Art History. I have been an intern for the non-profit organization Paper Bridges, supporting orphans through financial and welfare means. I've worked with SELF company in Taiwan, collaborating on restaurant businesses and films. I am passionate about researching dance in conjunction with mental health, drawing from my own experiences as a performing artist for the past fourteen years. I have worked with Kristina Marquez on research about mirror exposure and dancer's self confidence.
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Christopher Manning
Thomas M. Siebel Professor of Machine Learning, Professor of Linguistics, of Computer Science and Senior Fellow at the Stanford Institute for Human-Centered AI
BioChristopher Manning is the inaugural Thomas M. Siebel Professor in Machine Learning in the Departments of Linguistics and Computer Science at Stanford University, Director of the Stanford Artificial Intelligence Laboratory (SAIL), and an Associate Director of the Stanford Institute for Human-Centered Artificial Intelligence (HAI). From 2010, Manning pioneered Natural Language Understanding and Inference using Deep Learning, with impactful research on sentiment analysis, paraphrase detection, the GloVe model of word vectors, attention, neural machine translation, question answering, self-supervised model pre-training, tree-recursive neural networks, machine reasoning, dependency parsing, and summarization, work for which he has received two ACL Test of Time Awards and the IEEE John von Neumann Medal (2024). He earlier led the development of empirical, probabilistic approaches to NLP, computational linguistics, and language understanding, defining and building theories and systems for Natural Language Inference, syntactic parsing, machine translation, and multilingual language processing, work for which he won ACL, Coling, EMNLP, and CHI Best Paper Awards. In NLP education, Manning coauthored foundational textbooks on statistical approaches to NLP (Manning and Schütze 1999) and information retrieval (Manning, Raghavan, and Schütze, 2008), and his online CS224N Natural Language Processing with Deep Learning course videos have been watched by hundreds of thousands. In linguistics, Manning is a principal developer of Stanford Dependencies and Universal Dependencies, and has authored monographs on ergativity and complex predicates. He is the founder of the Stanford NLP group (@stanfordnlp) and was an early proponent of open source software in NLP with Stanford CoreNLP and Stanza. He is an ACM Fellow, a AAAI Fellow, and an ACL Fellow, and a Past President of the ACL (2015). Manning has a B.A. (Hons) from The Australian National University, a Ph.D. from Stanford in 1994, and an Honorary Doctorate from U. Amsterdam in 2023. He held faculty positions at Carnegie Mellon University and the University of Sydney before returning to Stanford.
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Ellen Markman
IBM Provostial Professor
BioMarkman’s research interests include the relationship between language and thought; early word learning; categorization and induction; theory of mind and pragmatics; implicit theories and conceptual change, and how theory-based explanations can be effective interventions in health domains.
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Jay McClelland
Lucie Stern Professor in the Social Sciences, Professor of Psychology and, 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 and reasoning in humans and contemporary AI systems based on neural networks.
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Raymond McDermott
Professor of Education, Emeritus
Current Research and Scholarly InterestsInteraction analysis and social structure; the political economy of learning; writing systems; educational and psychological anthropology.
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Vinod Menon
Rachael L. and Walter F. Nichols, MD, Professor and Professor, by courtesy, of Education and of Neurology and Neurological Sciences
Current Research and Scholarly InterestsEXPERIMENTAL, CLINICAL AND THEORETICAL SYSTEMS NEUROSCIENCE
Cognitive neuroscience; Systems neuroscience; Cognitive development; Psychiatric neuroscience; Functional brain imaging; Dynamical basis of brain function; Nonlinear dynamics of neural systems. -
Oscar Daniel Mier
Masters Student in Symbolic Systems, admitted Autumn 2022
Research Assistant, Stanford Institute for Innovation in Developing Economies (SEED)BioOscar Daniel Mier, a driven neuroscience professional and Master of Science candidate in Symbolic Systems at Stanford University, exemplifies unwavering dedication to neuroscience, neuroimaging, and the welfare of veterans. With a Bachelor of Science in Neuroscience from the University of California, Riverside, and graduate training in Neuroimaging and Informatics from the University of Southern California, Oscar's academic journey has propelled him through a multifaceted career. His experience includes working as a Clinical Research Coordinator at the Etkin Lab, the United States Marine Corps, and a Site Lead Clinical Research Coordinator at the U.S. Department of Veteran Affairs Palo Alto Healthcare System.
Oscar's passion for helping others shines through his work as a Mobile Training Team S.T.E.M. Fellow with the Warrior-Scholar Project, where he tutored and mentored student veterans and active service members and coordinated academic boot camps at prestigious universities. In his most recent position as a Technical Solutions Engineer at Alto Neuroscience, Oscar managed neuroimaging data and trained clinicians on clinical study paradigms. As he continues his academic journey at Stanford, Oscar brings his extensive experience, expertise, and unwavering commitment to the forefront, poised to make a lasting impact in the field of neuroscience and the lives of veterans. -
Holden Moore
Undergraduate, Management Science and Engineering
Undergraduate, Symbolic SystemsBioStanford University undergraduate student majoring in symbolic systems with a concentration in neuroscience. Pursuing an interdisciplinary degree across diverse fields of study including computer science, mathematics, neuroscience, statistics, philosophy, and psychology.
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Mark Musen
Stanford Medicine Professor of Biomedical Informatics Research, Professor of Medicine (Biomedical Informatics) and of Biomedical Data Science
Current Research and Scholarly InterestsModern science requires that experimental data—and descriptions of the methods used to generate and analyze the data—are available online. Our laboratory studies methods for creating comprehensive, machine-actionable descriptions both of data and of experiments that can be processed by other scientists and by computers. We are also working to "clean up" legacy data and metadata to improve adherence to standards and to facilitate open science broadly.
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Reviel Netz
Patrick Suppes Professor of Greek Mathematics and Astronomy and Professor, by courtesy, of Philosophy and of History
BioNetz's main field is the history of pre-modern mathematics. His research involves the wider issues of the history of cognitive practices, e.g. visual culture, the history of the book, and literacy and numeracy. His books from Cambridge University Press include The Shaping of Deduction in Greek Mathematics: a Study in Cognitive History (1999, Runciman Award), The Transformation of Early Mediterranean Mathematics: From Problems to Equations (2004), and Ludic Proof: Greek Mathematics and the Alexandrian Aesthetic (2009).
He is also the author of the translation and commentary of the works of Archimedes, also with CUP, a three-volume work of which the first has appeared, The Two Books on Sphere and Cylinder (2004). Together with Nigel Wilson, he prepares the edition of the recently rediscovered Archimedes Palimpsest (evidence from which already gave rise to two major discoveries: a text showing actual infinity in Archimedes, published in SCIAMVS 2001-2002, and a text showing, possibly, combinatorics in Archimedes, published in SCIAMVS 2004.) Two volumes, Transcription and Critical Edition, are forthcoming from the British Academy, of which the transcription is already available online. His popular book on the Archimedes Palimpsest Project, The Archimedes Codex, (co-authored with William Noel, Neumann Prize) was published by Widenfeld and Nicolson, 2007, and is translated into 20 languages.
Related to his research in cognitive history is his interest in ecological history, and he has published Barbed Wire: an Ecology of Modernity (Wesleyan University Press, 2004, finalist for PEN award). Reviel Netz is also a poet (Adayin Bahuc, 1999 Shufra: Tel Aviv, AMOS prize), one of a group of Hebrew poets active today whose work revives formal verse and he is the co-author, together with his wife, the Israeli author Maya Arad, of a collection of essays on Israeli literature, Positions of Stress (Meqom Hata'am, 2008 Axuzat Bayit: Tel Aviv). -
William Newsome
Harman Family Provostial Professor and Professor of Neurobiology and, by courtesy, of Psychology
Current Research and Scholarly InterestsNeural processes that mediate visual perception and visually-based decision making. Influence of reward history on decision making.
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Miguel Novelo Cruz
Lecturer
BioMiguel Novelo (he/him/el) is an interdisciplinary artist, educator, and researcher who focuses on emerging media and community organizing—currently working on algorithmic video art, technoshammanic installations, thermodynamic hypnotism, and friendly computational virus-like software.
Novelo earned a Bachelor of Fine Arts from the San Francisco Art Institute in 2018, followed by a Master of Fine Arts from Stanford University in 2022. His work has been exhibited at various institutions, including the de Young Museum, the Stanford Institute for Human-Centered Artificial Intelligence (HAI), the Museo Universitario Arte Contemporáneo (MUAC) in Mexico City, and numerous international film festivals. -
Ethan Nowak
Assistant Professor of Philosophy
Current Research and Scholarly InterestsPhilosophy of language, social and political philosophy, East Asian philosophy
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Roy Pea
Director, H-STAR, David Jacks Professor of Education and Professor, by courtesy, of Computer Science
Current Research and Scholarly Interestslearning sciences focus on advancing theories, research, tools and social practices of technology-enhanced learning of complex domains
