Dr. Thomas Juzek is an assistant professor of computational linguistics at FSU. He researches how model alignment and preference learning shape the language of large language models (LLMs), including lexical over-representation, and the emergence of AI-associated language in spoken English. He builds open datasets and tools and co-organizes FSU's SC-AI seminar.

Dr. Zhe is a full professor in the School of Information and Director of the Institute for Successful Longevity at FSU. As a biomedical informatician, his research intersects with biomedical/health informatics, computer science, and information science. He specializes in machine learning, NLP, and knowledge representation. He is an elected fellow of IAHSIand AMIA.

Dr. Gubanov is an assistant professor and a lead PI on a multi-year NSF ($550K) grant and a Casey DeSantis Cancer Innovation Fund ($1.2M) consortium grant with Moffitt Cancer Center to develop new AI for better cancer practices. He earned his PhD from the University of Washington and completed a postdoc at MIT CSAIL. His honors include the Amazon AI AWS Research Award, the Communications of the ACM (CACM) Award, the ACM SIGMOD Research Highlights Award, and the IEEE ICDE Best Paper Award.

Dr. Bhasuran is a researcher in clinical data science and biomedical informatics with over a decade of experience developing AI classification and prediction models. His work integrates clinical NLP, machine learning, and generative AI to advance computational methods for population health and clinical decision-making. His interests include causal inference, knowledge graphs, and fairness/explainability in AI systems.