Cognition, Oral & Written Language Disorders, and AI Laboratory
Integrates SLP, Neuroscience, and AI to study language disorders
COALab is an interdisciplinary research hub focused on the intersection of cognition, oral and written language disorders, and artificial intelligence. We combine methodologies from speech-language pathology, developmental neuroscience, and AI to study the mechanisms of language disorders and develop novel assessment and intervention tools.
Research Areas
Oral & Written Language Disorders
Investigating developmental delays, dyslexia, and aphasia. We focus on the assessment, intervention, and underlying mechanisms of language disorders.
Learn MoreArtificial Intelligence
Applying AI to screen for disorders, analyze linguistic behavior, and build predictive models for language outcomes.
Learn MoreDevelopmental Neuroscience
Exploring the neural mechanisms underlying language disorders, including brain development and neural connectivity patterns.
Learn MoreFeatured Projects
Cognitive Load in Simultaneous Interpretation
Investigated cognitive load patterns in professional interpreters using EEG and eye-tracking measures. Developed predictive models of interpretatio...
Bilingual Code-Switching Corpus
Collected and annotated a large corpus of code-switched speech across multiple language pairs. The corpus includes detailed linguistic annotations ...
Cross-Linguistic Semantic Analysis
Investigating how semantic representations vary across languages using large-scale corpus analysis and computational models. This project aims to u...
Latest News
COALAB has been awarded a $1.2M NSF grant to study bilingual language processing in children with developmental language disorders.
Read more →Our paper "Cross-Linguistic Transfer in Multilingual Language Models" has been accepted for publication at ACL 2025.
Read more →Welcome to our new postdoctoral researcher Dr. Maria Chen and two new PhD students joining the COALAB team this fall.
Read more →