Symbolic Systems
Showing 51-100 of 288 Results
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Meg Cychosz
Assistant Professor of Linguistics
BioDr. Cychosz investigates how infants and children develop speech and language, including children who are d/Deaf or hard-of-hearing and multilingual learners. Her research bridges linguistics, cognitive science, developmental psychology, and electrical engineering to understand fundamental questions about language acquisition. Her interdisciplinary approach combines fieldwork with computational methods, using deep learning and automatic speech recognition tools to analyze naturalistic speech recordings from children's daily lives. She is particularly interested in how children's processing limitations might influence the structure of the world's languages, how sensory experiences like hearing loss affect language processing in early childhood, and how technological innovations can make language research more accessible and representative. Dr. Cychosz directs the Speech and Cognitive Development Lab and collaborates with clinical partners in audiology and speech-language pathology to ensure her research has translational impact to support children's language development.
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Todd Davies
Acad Research & Pgrm Officer, and Lecturer, Symbolic Systems Program
Current Role at StanfordAssociate Director, Symbolic Systems Program
Lecturer, Symbolic Systems Program
Faculty Affiliate, Wu Tsai Neurosciences Institute -
Persi Diaconis
Mary V. Sunseri Professor in the School of Humanities and Sciences and Professor of Mathematics
Current Research and Scholarly InterestsResearch Interests:
PROBABILITY THEORY
BAYESIAN STATISTICS
STATISTICAL COMPUTING
COMBINATORICS -
David Dill
Donald E. Knuth Professor in the School of Engineering, Emeritus
Current Research and Scholarly InterestsSecure and reliable blockchain technology at Facebook.
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Jean-Pierre Dupuy
Professor of French and Italian and, by courtesy, of Political Science
BioProfessor Jean-Pierre Dupuy is a Professor of Social and Political Philosophy at the École Polytechnique, Paris. He is the Director of research at the C.N.R.S. (Philosophy) and the Director of C.R.E.A. (Centre de Recherche en Épistémologie Appliquée), the philosophical research group of the École Polytechnique, which he founded in 1982. At Stanford University, he is a researcher at the Study of Language and Information (C.S.L.I.) Professor Dupuy is by courtesy a Professor of Political Science.
In his book The Mechanization of the Mind, Jean-Pierre Dupuy explains how the founders of cybernetics laid the foundations not only for cognitive science, but also artificial intelligence, and foreshadowed the development of chaos theory, complexity theory, and other scientific and philosophical breakthroughs. -
David Eagleman
Adjunct Professor, Psych/Public Mental Health & Population Sciences
BioDavid Eagleman is a neuroscientist, bestselling author, and Guggenheim Fellow. Dr. Eagleman’s areas of research include sensory substitution, time perception, vision, and synesthesia. He also studies the intersection of neuroscience with the legal system, and in that capacity he directs the non-profit Center for Science and Law. Eagleman is the writer and presenter of The Brain, an Emmy-nominated television series on PBS and BBC. He is the author of 8 books, including Livewired, The Runaway Species, The Brain, Incognito, and Wednesday is Indigo Blue. He is also the author of a widely adopted textbook on cognitive neuroscience, Brain and Behavior. His internationally bestselling book of literary fiction, SUM, has been translated into 32 languages, turned into two operas, and named a Best Book of the Year by Barnes and Noble. Dr. Eagleman has been a TED speaker, a guest on the Colbert Report, and profiled in the New Yorker magazine. He has launched several neuroscience companies from his research, including Neosensory and BrainCheck.
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Penelope Eckert
Albert Ray Lang Professor, Emerita
BioThe goal of my research is to understand the social meaning of linguistic variation. In order to do this, I pursue my sociolinguistic work in the context of in-depth ethnographic fieldwork, focusing on the relation between variation, linguistic style, social identity and social practice.
Gender has been the big misunderstood in studies of sociolinguistic variation - in spite of the fact that some of the most exciting intellectual developments over the past decades have been in theories of gender and sexuality ... so I have been spending a good deal of time working on language and gender as well.
Since adolescents and preadolescents are the movers and shakers in linguistic change, I concentrate on this age group, and much of my research takes place in schools. The institutional research site has made me think a good deal about learning and education, but particularly about the construction of adolescence in American society. -
Johannes C. Eichstaedt
Assistant Professor (Research) of Psychology
Current Research and Scholarly InterestsLarge Language Models and AI: use of LLMs for mental healthcare delivery and well-being, safety and bias evaluation; anticipating impacts of AI on society
Methods: Natural Language Processing & LLMs; data science; longitudinal methods, machine learning, and psychological assessment through AI
Mental and physical health: depression and anxiety; health psychology: heart disease and opioid addiction
Well-being: emotion, life satisfaction, and purpose, and their individual and societal causes -
Cameron Ellis
Assistant Professor of Psychology
BioDr. Cameron Ellis is an Assistant Professor in the Department of Psychology. He leads the Scaffolding of Cognition Team, which focuses on the question: What is it like to be an infant? His team uses methods from neuroscience and cognitive science to assess the basic building blocks of the developing mind and answer this question. They are particularly interested in questions about how infants perceive, attend, learn, and remember. One prominent approach they use is fMRI with awake behaving infants. This provides unprecedented ways to access the cognitive mechanisms underlying the infant mind.
Dr. Ellis received his Ph.D. from Yale University in 2021. Before that, he received a Masters from Princeton University (2017) and a Bachelor of Science from Auckland University, New Zealand (2013). He was awarded the FLUX Dissertation Prize (2021) and the James Grossman Dissertation Prize (2021), as well as the William Kessen Teaching Award (2019). -
Judith Ellen Fan
Assistant Professor of Psychology, by courtesy, of Education and of Computer Science
BioI direct the Cognitive Tools Lab (https://cogtoolslab.github.io/) at Stanford University. Our lab aims to reverse engineer the human cognitive toolkit—in particular, how people use physical representations of thought to learn, communicate, and solve problems. Toward this end, we use a combination of approaches from cognitive science, computational neuroscience, and artificial intelligence to achieve deeper understanding of quintessentially human ways of thinking and imagining. Our broader goal is to leverage such scientific understanding of human cognition to guide the development of technologies that augment human agency and creativity.
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Anne Fernald
Josephine Knotts Knowles Professor of Human Biology, Emerita
Current Research and Scholarly InterestsWorking with English- and Spanish-learning children from diverse socioeconomic and cultural backgrounds, our research examines the importance of early language experience in supporting language development. We are deeply involved in community-based research in San Jose, designing an innovative parent-engagement program for low-resource Latino families with young children. We are also conducting field studies of beliefs about child development and caregiver-child interaction in rural villages in Senegal. A central goal of this translational research is to help parents understand their vital role in facilitating children’s language and cognitive growth.
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Chelsea Finn
Assistant Professor of Computer Science and of Electrical Engineering
BioChelsea 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 data, 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, the Presidential Early Career Award for Scientists and Engineers, and the MIT Technology Review 35 under 35 list, 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.
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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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Vivienne Fong
Director of Programs and Faculty Affairs, SIEPR Operations
Current Role at StanfordDirector of Programs and Faculty Affairs
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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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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
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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William Gilly
Professor of Oceans
Current Research and Scholarly InterestsMy work has contributed to understanding electrical excitability in nerve & muscle in organisms ranging from brittle-stars to mammals. Current research addresses behavior, physiology and ecology of squid through field and lab approaches. Electronic tagging plus in situ video, acoustic and oceanographic methods are used to study behaviors and life history in the field. Lab work focuses on control of chromogenic behavior by the chromatophore network and of locomotion by the giant axon system.
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Deborah M Gordon
Paul S. and Billie Achilles Professor of Environmental Biology
Current Research and Scholarly InterestsProfessor Deborah M Gordon studies the evolutionary ecology of collective behavior. Ant colonies operate without central control, using local interactions to regulate colony behavior.
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Kalanit Grill-Spector
Susan S. and William H. Hindle Professor in the School of Humanities and Sciences
Current Research and Scholarly InterestsFor humans, recognition is a natural, effortless skill that occurs within a few hundreds of milliseconds, yet it is one of the least understood aspects of visual perception. Our research utilizes functional imaging (fMRI),diffusion weighted imaging (DWI), computational techniques, and behavioral methods to investigate the neural mechanisms underlying visual recognition in humans. We also examine the development of these mechanisms from childhood to adulthood as well as between populations.
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James Gross
Ernest R. Hilgard Professor, Professor of Psychology and, by courtesy, of Philosophy
Current Research and Scholarly InterestsI am interested in emotion and emotion regulation. My research employs behavioral, physiological, and brain measures to examine emotion-related personality processes and individual differences. My current interests include emotion coherence, specific emotion regulation strategies (reappraisal, suppression), automatic emotion regulation, and social anxiety.
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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. Honors and awards include: Richard E. Guggenhime Faculty Scholar (2020) and a David Huntington Dean's Faculty Scholar (2019) from Stanford; CDS Steve Reznick Early Career Award (2022), 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). -
Nicholas Haber
Assistant Professor of Education
Current Research and Scholarly InterestsI use AI models of of exploratory and social learning in order to better understand early human learning and development, and conversely, I use our understanding of early human learning to make robust AI models that learn in exploratory and social ways. Based on this, I develop AI-powered learning tools for children, geared in particular towards the education of those with developmental issues such as the Autism Spectrum Disorder and Attention Deficit Hyperactivity Disorder, in the mold of my work on the Autism Glass Project. My formal graduate training in pure mathematics involved extending partial differential equation theory in cases involving the propagation of waves through complex media such as the space around a black hole. Since then, I have transitioned to the use of machine learning in developing both learning tools for children with developmental disorders and AI and cognitive models of learning.
