Thomas T. John

Thomas T. John is an Assistant Teaching Professor in the Department of Mathematics at Syracuse University. He specializes in statistical methods, econometric models, and data science applications in clinical research. His work focuses on improving healthcare efficiency through statistical computing and censored data analysis. He maintains an active teaching portfolio and contributes to research in survival analysis and medical informatics.

Education:

• Ph.D., Mathematics (Statistics), Syracuse University, 2004
• M.S., Mathematics, Syracuse University, 2000
• B.A., Mathematics, City University of New York, Queens College, 1996

Research Interests: John’s research integrates statistical methodologies with practical applications in econometrics, healthcare systems, and reliability engineering. He explores log-location-scale distributions in survival analysis and develops experimental designs for low-acuity clinical settings.

Recent Research Trends: His work bridges statistical theory and clinical practice, emphasizing workflow optimization in healthcare and the adoption of IT solutions to enhance operational efficiency. Collaborations include designing vital signs monitors and evaluating single sign-on systems in hospitals.

Teaching & Service: John has taught a wide range of courses, including Probability, Mathematical Statistics, and Data Science. He served as a Portfolio Reviewer for Women in Science and Engineering (WiSE) at Syracuse University (2020–2021). His personal research website is here.