School of Humanities and Sciences
Showing 101-120 of 388 Results
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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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Ke 'Kay' Fang
Ph.D. Student in Psychology, admitted Autumn 2024
BioI am a PhD student in the Cognitive Science Area of the Department of Psychology. My research focuses on computational approaches to understanding how distributed individual minds give rise to emergent collective phenomena, including cooperation, norms, and polarization. Before Stanford, I got my master’s degree at New York University, where I worked on topics in social psychology. Prior to that, I received my bachelor’s degree in Management from Lanzhou University in China.
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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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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.
