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
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.
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.
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.
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.
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
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.
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.
Ariel M. Goldberg
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
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'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'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 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
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.
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