Benjamin Langworthy

Benjamin Langworthy is an Assistant Professor in the Division of Biostatistics & Health Data Science at the University of Minnesota School of Public Health. His methodological research focuses on competing risks survival analysis, missing data, and causal inference for clustered data, with applications in hearing loss, nasal spray deposition for rhinosinusitis patients, early child brain and cognitive development, and adverse events in cancer patients.

• Education:
  • PhD in Biostatistics, University of North Carolina at Chapel Hill
  • BS in Applied Mathematics & Statistics and Economics, Macalester College

Research Interests: Dr. Langworthy specializes in survival analysis, clustered data, and causal inference. His work addresses methodological challenges in competing risks models and applied health research across multiple domains.

Scientific Awards:

• Gillings Annual Fund Scholarship, University of North Carolina School of Public Health