Kara D. Federmeier, Ph.D.
Department of Psychology, Program in Neuroscience, and Beckman Institute for Advanced Science and Technology
Co-leader for the Illinois Language and Literacy Initiative
Past President of the Society for Psychophysiological Research
Ryan Hubbard, Ph.D.
Ryan is a Beckman Institute Postdoctoral Fellow. He received his Ph.D. from the Department of Psychology at the University of Illinois. He is interested in the relationship between aspects of language (e.g. semantics, contextual information) and memory, and how this overlap manifests in the brain. He is also interested in applying machine learning and multivariate analysis techniques (e.g. classification) to neuroimaging data.
Melissa Troyer, Ph.D.
Melissa is a Beckman Institute Postdoctoral Fellow and received her PhD in Cognitive Science from UCSD. She is interested in how variation in what people know relates to how they anticipate, make sense of, and (potentially) learn from language in real time. In CABLab, she is currently investigating how the neural and cognitive processes involved in language comprehension may vary as a function of individuals’ knowledge, language experience, and age. Read more at her website here.
Lin Khern Chia
Hui-Sun is a PhD graduate student and started her PhD journey in 2022. She is interested in human capacities for learning and her research interest focuses on memory (declarative memory) and language (comprehension and acquisition). She received her B.A. in the Department of English at National Taiwan Normal University and M.S. in the Department of Psychology at at National Taiwan University.
Winnie is a PhD graduate student interested in the interaction between cognition and language in the context of cognitive development and decline. Her current work employs event-related potentials (ERPs), in conjunction with behavioral methodology, to examine the down-stream consequences of predictive processing on memory in younger and older adults. She received her B.A. in English Language and Literature and Psychology from Seoul National University in 2016.
Melinh is a 4th year PhD graduate student interested in studying prediction processes within language comprehension. She received her undergraduate degree in Biology, Linguistics, and Cognitive Science at Rutgers University and worked full-time as a research assistant at Johns Hopkins University before enrolling at UIUC in 2016. Her current work uses ERPs to investigate the consequences of predictive processing as well as the relationship between attention and prediction.
Emily Mech is a graduate student interested in language comprehension and semantic memory. In her work, she utilizes event-related potentials (ERPs), computational modeling, and behavioral methodology to examine how regularities in language and the world interact to affect the ways in which our linguistic and semantic knowledge is learned, structured, accessed, and communicated.
Rachel is a first year PhD student. She received her B.A. in Psychology from Princeton University in 2022.