Stanford University
Showing 71-80 of 323 Results
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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 InterestsWell-being: affect, life satisfaction, and purpose, and their individual and societal determinants (lifestyle factors and policies); traits: character strengths, personality, trust, and empathy
Mental and physical health: depression, stress, and anxiety; health psychology: heart disease and opioid addiction
Methods: Natural Language Processing & Large Language Models; data science and
visualization; longitudinal methods, machine learning, and psychological assessment through AI -
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. Towards this end, we use a combination of approaches from cognitive science, computational neuroscience, and artificial intelligence.
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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
On Partial Leave from 10/01/2024 To 03/31/2025BioChelsea 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
