Assistant Professor
Department of Information Sciences and Technology
College of Engineering & Computing
George Mason University
Dr. Kevin Lybarger’s research explores artificial intelligence (AI) and natural language processing (NLP), with an emphasis on health applications. His health research began during his PhD and postdoc, where he investigated clinical informatics at the intersection of NLP and clinical documentation. Dr. Lybarger has since expanded his health research to include health-focused conversational agents and public health, addressing challenges in healthcare. His broader research interests extend beyond health, encompassing information integrity and correctional system informatics. By integrating AI and NLP, his research seeks to optimize the use of textual information in decision-making, foster innovative information exchange, and enhance information integrity to drive meaningful societal change.
Mason Website: https://www.gmu.edu/profiles/klybarge
Kevin Lybarger, PhD
Current affiliations
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University of Washington School of Medicine
I am an Affiliate Assistant Professor in the University of Washington (UW) School of Medicine, to facilitate collaboration between UW and GMU.
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UW BioNLP
I collaborate with the University of Washington Biomedical Language Processing (UW BioNLP) group. UW BioNLP builds systems and tools to process the free-text in the biomedical literature and clinical notes.
Former affiliations
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TIAL
As a doctoral student, I was part of the Transformation, Interpretation and Analysis of Language (TIAL) Group at UW. TIAL develops computational, data-driven models of language to solve the challenging problems in speech and language interpretation and analysis.
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UW NLP
During my PhD, I was a member of the UW NLP group, which explores a wide range of core NLP problems and emerging challenges. UW NLP is highly collaborative and leverages expertise from a across the UW campus and industry partners.