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As a researcher in neurolinguistic and computational cognitive science, I study how language learning affects the development of the brain, and changes perception and cognition. My work is grounded in experimental data (fMRI, EEG, motion capture, EMG, and radar recordings), and focused on populations with language processing differences: sign language, autism, dysexia, and neurodegenerative disorders of communication. For example, I have demonstrated experimentally that learning of a sign language temporarily enhances temporal resolution of vision; this effect fades with increased proficiency due to a shift toward predictive processing in language comrehension.

In the domain of computational modeling, my research has examined neural differences in neurodevelopmental and neurodegenerative disorders, revealing distinct neural dynamics driving pre-symptomatic changes in language use. This work can be useful for development of precision diagnostics, as well as early interventions for communicative disorders in children during critical period of language acquisition.

My work across several sign languages has addressed the questions of perception, processing, and production, including the development of perceptual features into grammatical markers. I also explored the neural co-optation of predictive processing mechanisms for motion perception to multi-scale linguistic processing networks.
My research also extends to technological applications. I have investigated use of radar-based sensing for sign language recognition and corpus development while preserving signer privacy. I also evaluated use of non-invasive EEG sensors for identification of resting brain activity patterns related to hunger and satiety states. My findings highlight the potential of using interpretable neural and physiological markers in conjunction with grounded understanding of physiological and cognitive phenomena for smart enviroments.

Overall, my research integrates linguistic theory, cognitive neuroscience, and computational modeling to deepen understanding of how human brain and language drive mutual development and model the environment, both in neurotypical and neurodivergent populations.