معرفی
Tom Juzek is an Assistant Professor of Computational Linguistics at Florida State University (FSU), with a courtesy appointment in Scientific Computing. His research focuses on applying computational methods to linguistic questions, particularly AI-generated language, its impact on human language use, and model behavior analysis. Prior to academia, he worked in the tech industry.
Education:
- M.A. in Phonetics, University of Bonn
- Ph.D. in Linguistics, University of Oxford
His research interests include computational linguistics, natural language processing, corpus linguistics, and experimental/information-theoretic approaches. He co-organizes the SC Machine Learning Seminar and has been featured in national and international media, including Science Friday and Die Welt.
Recent publications explore topics such as AI language patterns, syntactic acceptability datasets, and diachronic syntactic shifts. His work bridges theoretical linguistics with computational methods, emphasizing empirical validation and interdisciplinary collaboration.
Mentorship & Teaching: Juzek advises the Computational Linguistics track in FSU’s Data Science Program and mentors students in the Undergraduate Research Opportunity Program. He teaches courses like AI-assisted Python programming for language data and research methods in linguistics.
Labs & Collaborations: Engaged in collaborative projects on human-AI collaboration in detecting deepfakes and analyzing language model behavior. His lab focuses on developing computational tools for linguistic analysis.
