Francesco Zuniga is a Ph.D. Candidate in Statistics and Data Science at the University of Nevada, Reno. He has a background in Civil Engineering with a B.S. at the University of Tor Vergata, Rome, and an M.S. in Structural and Earthquake Engineering at the University of Nevada, Reno. Francesco’s research focuses mainly on Extreme Value Theory, Generalized Linear Model, Applied Statistics, and Machine Learning. His research produced two papers already published, “A new trivariate model for stochastic episodes” and “A generalized linear model for multivariate events” in collaboration with Dr. Anna Panorska (his Ph.D. Advisor) and Dr. Tomasz Kozubowski, both from the Statistics Department at the University of Nevada, Reno. Francesco is mostly focused on statistical modeling and generalized linear model applied to Finance and Engineering problems and he is currently working on modeling and predicting the return periods of large precipitation events in the changing climate.
Since 2019 Francesco is serving as the President of the student chapter of the Society for Industrial and Applied Mathematics (SIAM) at UNR.
- Machine Learning
- Applied Statistics
- Generalized Linear Model
- Extreme Value Theory
- Peak over Threshold
- MS in Structural and Earthquake Engineering at University of Nevada, Reno (2016).
- B.S. in Civil Engineering at University of Tor Vergata, Rome (2013).