McKnightÌýcompleted her Ph.D. in 2022 under the supervision of Albert Kim. Her research is centered on the intersection between the cognitive neuroscience of reading and individual differences in cognitive skills. Currently, this research involves the analysis of over 400 sets of electroencephalographic (EEG) data alongside a battery of behavioral assessments to identify neural markers associated with reading comprehension, working memory, executive functionÌýand other language related skills. In addition, she is interested in research that models naturalistic reading environments, combining self-paced reading with online neural measurements.
McKnight, S.M., Bell-Souder, D., Gilley, P., Miyake, A., & Kim, A. (2021, March 4-6). Oscillatory dynamics of complex dependency processing reveal unique roles for attention and working memory mechanisms [Online Poster Talk]. 34th CUNY Conference on Human Sentence Processing, Hosted by University of Pennsylvania, Online due to COVID-19
McKnight, S.M., Kim, A. (2019, March 29-31). Capturing continuous effects of context during naturalistic text reading [Conference presentation]. 32nd CUNY Conference on Human Sentence Processing, ºù«ÍÞÊÓƵ, CO.
McKnight, S.M., Bell-Souder, D., Miyake, A., Kim, A. (2018, March 15-17). Individual differences in language knowledge and the syntactic processing P600 [Conference Presentation]. 31st CUNY Conference on Human Sentence Processing, Davis CA.