معرفی
Umit Tokac is an Assistant Professor in the Department of Nursing at the University of Missouri–St. Louis (UMSL) College of Nursing. He holds a Ph.D. in Measurement and Statistics from Florida State University (FSU), along with multiple master's degrees in mathematics education and educational statistics. His research focuses on Bayesian data analysis, artificial intelligence applications in healthcare, and statistical methodologies for measuring human conditions. His work bridges quantitative methods with clinical practice, particularly in nursing and patient safety contexts. Key research areas include resilience prediction in healthcare workers, patient safety culture analysis, and machine learning approaches to healthcare challenges.
Education:
- Ph.D. in Measurement and Statistics, Florida State University (2016)
- Certificate in Online Instructional Development, Florida State University (2014)
- MS in Educational Statistics and Research Methods, Florida State University (2010)
- MS in Math Education, Gazi University (2006)
- BS in Math Education, Gazi University (2005)
Research Interests:
- Bayesian Modeling
- Artificial Intelligence in Healthcare
- Patient Safety Culture
- Meta-analysis
- Decision Theory
- Nursing Informatics
Recent work trends emphasize predictive modeling for healthcare outcomes, pandemic-related psychological impacts, and application of machine learning in clinical and public health settings. His publications often address nurse well-being, patient safety, and methodological advancements in healthcare data analysis.
Scientific Awards:
- Marie Geneau Memorial Endowed Scholarship (2024)
- Robert M. Gagne Research Award (2024)
- Statewide Graduate Student Research Symposium Second Place (2024)
Advising and Grants: While specific grants are not detailed, his research portfolio reflects collaborations across disciplines including psychology, nursing, and computer science. He has mentored students in applied statistical projects with real-world healthcare implications.
