My research interests focus on developing and evaluating introductory statistics curricula using simulation-based inference and statistical modeling. Giving students the power to create models for statistical scenarios and use those models to carry out simulations allows students to go beyond just learning from procedures. The act of creating a statistical model for making inferences is rooted in personal narratives and connects to students intuitions about a context or scenario. This gives students a deeper perspective and conceptual understanding of the statistical concepts they use, like p-values or confidence intervals. I've developed activities and a learning trajectory for simple linear regression models in this modeling and simulation-based curriculum and analyzed student thinking and learning.