Tawanda Benesi is an assistant professor of instruction in the Department of Statistical Science, joining the Fox School from the University of Georgia.
Benesi’s research interests are rooted in applications of data science to areas including health, agriculture, engineering, manufacturing, education and social behavior. He also studies longitudinal and spatial-temporal data analysis.
He received an Outstanding Teaching Award from the University of Georgia and a Fellowship as Foreign Fulbright Scholar in 2014. Benesi received a data science certificate from DataCamp.
Benesi received his master’s degree and PhD from the University of Georgia in Athens, along with additional degrees in statistics from the University of Zimbabwe.
- Extensions of the EM algorithm beyond likelihood-based inference.
- Zero-inflated regression models
- Longitudinal data analysis
- Survival (reliability) analysis
- Applications of Data Science to solve business, social and health care problems.
- Statistical consulting and collaboration
Work in progress
- Benesi T., and Hall D. B. (2020). Marginal zero-inflated regression models for clustered data with multinomial mixing. Working paper.
- Benesi T., and Hall D. B. (2020). A regression-solution algorithm for marginal zero-inflated regression models for clustered data. Working paper.
- Benesi T., and Hall D.B. (2020). margZIfit: An R package for fitting marginal zero-inflated regression models for clustered data. Working paper/