Sierra Pugh Email & Phone Number

-Prepared 6 peer reviewed publications with 2 more under development-Developed a Bayesian hierarchical model for modeling age-specific COVID-19 infection fatality rates in developing countries, while accounting for misaligned data and test assay uncertainty. We showed infection fatality rates increased non-linearly with age, while seroprevalence were less.

-Primary instructor for introductory statistic courses (STAT 301, STAT 307, and STAT 315)-Primary instructor for graduate level spatial statistics course (STAA 576), using previously recorded lectures-Mentored undergraduates in data cleaning, statistical modeling, presentation preparation, and academic writing (STAT 472)-Led introductory course recitations.

-Held office hours, graded and provided feedback for homework, exams, and projects-Teaching assistant: Bayesian Methods (STAT 651), Multivariate Statistical Methods (330), Analysis of Variance (STAT 230)-Grader: Multivariate Statistical Methods (STAT 666), Generalized Linear Models (STAT 637),

-Published 2 first author peer reviewed publications and coauthored an additional peer reviewed publication.-Developed a spatio-temporal change point model to understand seasonality of bronchiolitis while accounting for spatial and temporal uncertainty in the data.-Combined Nearest Neighbor Gaussian Processes with a spatio-temporal lagged predictor model.

Doctor Of Philosophy - Phd, Statistics

Coursework: -Linear Modeling -Hierarchical Modeling -Bayesian Statistics -Spatial Statistics -Advanced Statistical Modeling -Statistical.

Master'S Degree, Statistics

Coursework: -Statistical Computation -Generalized Linear Models -Multivariate Statistical Methods -Bayesian Statistics -Biostatistics.

Bachelor'S Degree, Statistics

Coursework: -Computer programming -Linear algebra -Analysis of Variance -R programming -Regression -SAS programming -Multivariate calculus.