Shohini Bhattasali is a postdoctoral associate, working with Philip Resnik, at the University of Maryland Institute for Advanced Computer Studies (UMIACS) and the Department of Linguistics and a postdoctoral affiliate of the NACS program. She applies computational models to neuroimaging data in order to understand the physical basis of language comprehension. This research brings together computational linguistics and neurolinguistics and it involves interfaces between linguistic theory, psycholinguistics, and cognitive neuroscience. She is currently investigating human language interpretation and misinterpretation, through psycholinguistic and neurolinguistic measures and computational modeling of the interpretive process. Shohini received her Ph.D in Linguistics from Cornell University in 2019 with John Hale as her advisor. Her dissertation explored noncompositionality and argument structure from a neurolinguistic perspective by using various tools from computational linguistics & fMRI data.

Please see her website for more information and recent publications.

Areas of Interest

  • Computational Linguistics
  • Cognitive Neuroscience of Language
  • Psycholinguistics


  • Ph.D
    Cornell University, 2019
  • AB
    Bryn Mawr College, 2014
Research Methods
Computational Modeling
Research Interests
Dr. Shohini Bhattasali
MMH 1407
Neuroscience and Cognitive Science
shohini [at]