• Mixed effects modelling incorporating the Empirical Bayes estimator, to efficiently estimate a school’s value-add to test scores while Read more controlling for confounding variables

Developing and implementing methods to evaluate programs in the Department, overcoming the lack of a randomly allocated control group Read more using: Propensity score matching GLMs + GEEs + GLMMs Delta method for calculating standard errors of marginal estimates

• Developing and implementing methods to evaluate the Department's programs, overcoming the lack of a randomly allocated control group and Read more structurally missing data. This process involved: o Propensity score matching, o Lasso regressions, o Multiple imputations, o Weighting schemes, o Applying Generalised Estimation Equations and Mixed Effects Modelling to effectively model data with correlated residuals

Assessing States’ fiscal capacity, resulting billions of dollars being redistributed between States. Duties mainly included Regression modelling. Read more Further complex statistical diagnoses included: o Diagnosis of heteroscedastic residuals and fixing standard error estimation, o Using residuals to identify bias and contaminants o Defending statistical methodology, despite stakeholders being motivated to be combative