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Current Faculty


Mimi Kao

Child Development

Calvin Gidney

Tama Leventhal

Eileen Crehan
Eileen Crehan is a clinical psychologist with an interest in quantitative measurement of social communication. She uses eye tracking technologies to understand how traits such as theory of mind, repetitive behaviors, and anxiety impact gaze detection and response.

Computer Science

Remco Chang
Remco Chang's research area is in the theory and practice of information visualization. His work involves the use of perceptual modeling and modeling of individual differences to develop effective visualizations based on the user's perceptual and cognitive abilities.

Lenore Cowen

Michael Hughes
Michael Hughes' research focuses on statistical machine learning and its applications to healthcare and the sciences. His research goalis to develop predictive and explanatory models that find useful structure in large, messy, time-varying datasets and use these models to make decisions in the face of uncertainty.

Rob Jacob
Robert Jacob's research interests are in new interaction modes and techniques and user interface software; his current work focuses on implicit brain-computer interfaces.

Matthias Scheutz
Prof. Scheutz is a computer scientist, cognitive scientist, and roboticist working in the intersection of cognitive science, artificial intelligence, and robotics on on computational models of language processing and social interactions, especially human-robot interaction, and complex cognitive robotic architectures with natural language and ethical reasoning capabilities.

Jivko Sinapov

Computer Science and Psychology

J.P. de Ruiter
J.P. de Ruiter's research area is the cognitive foundations of communication. He uses experiments, analysis of naturalistic data, and computational modeling to study a variety of topics like misunderstandings, conversational turn-taking, gesture, and social robotics.


Barbara Brizuela
Bárbara M. Brizuela's research area is young children's learning of mathematics. She uses teaching experiments and interviews to study a variety of topics like children's understandings of numbers, algebraic concepts, and mathematical representations.

David Hammer
David Hammer's research is on learning and teaching in STEM fields (mostly physics) across ages from children through adults. He uses naturalistic and interview data to study topics including how learners frame what they are doing and how teachers attend and respond to students' thinking.


Christoph Börgers
C. Börgers works on differential equations models of neurons and neuronal networks. He uses both computational simulation and mathematical analysis, aiming at suggesting or refuting hypotheses regarding brain network dynamics, with particular emphasis on the origins and functions rhythms.

Occupational Therapy

Linda Tickle-Degnen
Linda Tickle-Degnen studies interpersonal interaction, including nonverbal and verbal communication, as related to social life and health quality of life outcomes, particularly in people with disabling and stigmatizing conditions. Her current work is applied to self-management rehabilitation and social robotics in Parkinson’s disease.


Daniel Dennett

Daniel Dennett's research interests are centered on human consciousness, how it evolved and is evolving, and how the two great philosophical topics of free will and meaning relate to it. A sketch of his unified theory is found in From Bacteria to Bach and Back (2017), and the details are now being worked out on several fronts.

Brian Epstein

Ray Jackendoff
Ray Jackendoff's research concerns the form of semantic, syntactic, and morphological representations for language, how they integrate with each other, and how they integrate into the overall architecture of the mind. In pursuit of such integration, Prof. Jackendoff has also explored the structure of spatial, musical, and social cognition; he has also engaged with issues in the processing and acquisition of language and the evolution of the human language capacity.


Stephanie Badde
Dr. Stephanie Badde studies how humans integrate information from the different senses with prior knowledge into a coherent percept of themselves, their bodies, and the world. In her research, Dr. Badde combines psychophysics with mathematical and computational modeling. Additionally, the lab uses neuroscientific methods, eye- and posture-tracking, and machine learning approaches.

Rich Chechile
Richard Chechile, Professor of Psychology and Cognitive & Brain Science does research on memory, quantitative models of cognitive processes, and Bayesian statistical methods. He teaches advanced statistics I and II (Psychology 207/208). He is the author of a recent MIT Press work entitled, Analyzing Memory: The Formation, Retention, and Measurement of Memory. He is currently working on a general introduction to Bayesian statistics using nonparametric methods.

Robert Cook

Ariel M. Goldberg

Gina Kuperberg
Gina Kuperberg's lab investigates the neural mechanisms underlying language processing in healthy adults using multimodal neuroimaging techniques (includingfMRI, MEG, ERP) and multiple different approaches (including neuropsychological testing, and computational modeling). Her lab also investigates how these mechanisms break down in individuals with neuropsychiatric disorders such as schizophrenia.

Paul Muentener
Paul Muentener's research is broadly focused on conceptual development in early childhood, as well as how language and cognition interact across development. In particular, he is interested in how causal learning supports children and adults' intuitive theories about the physical, social, and biological world. His lab uses a variety of measures, including looking time, actions, and explanation to explore children's early learning.

Ani Patel
Ani Patel's research focuses on music cognition, especially rhythmic processing, music-language relations, and the evolutionary foundations of music processing. Methods used include EEG/ERP studies, behavioral research, computational analyses, and cross-species studies.

Elizabeth Race
Elizabeth Race's research area is the cognitive neuroscience of human learning and memory. She uses combination of functional neuroimaging (fMRI), electroencephalography (EEG), and neuropsychological approaches (studying the behavior of clinical populations with memory loss) to provide a more comprehensive understanding of brain-behavior relationships in both health and disease.

Holly A. Taylor
Holly Taylor's research focuses on how people process, remember, and use spatial information. She uses a range of experimental methods and applies spatial thinking to a range of contexts, including navigation, wayfinding, map reading, and spatial thinking in STEM education.

Ayanna Thomas
Ayanna Thomas takes a translational approach to the study of memory and age-related changes in cognition. Her primary agenda is to translate basic science findings to applications in eyewitness memory, education, and cognitive aging. Professor Thomas' research group uses a variety of methodological techniques (e.g., behavioral, physiological, neurocognitive) to better understand the cognitive and biological mechanisms that result in successful memory and cognition.

Heather Urry
Heather Urry's research focuses on learning how the brain and body work together to let us experience, express, and regulate emotion. Tools include functional magnetic resonance imaging, peripheral psychophysiology (skin conductance, EKG, facial electromyography), eye tracking and pupillometry, and behavioral measures.

Nathan Ward
Dr. Ward's research is focused on understanding and improving the ability to manage multiple streams of information (i.e., multitasking) both in the lab and in real-world settings. His work aims to unpack the cognitive mechanisms that support multitasking, such as task switching and dual tasking, as well as to understand whether these and other mechanisms are differentially engaged across the lifespan.