My name is Restu Arisanti, a lecturer in the Department of Statistics, Padjadjran University. My academic interest focuses on the development and application of statistical models to address real-world challenges in epidemiology, poverty, and economics. I am interested in regression analysis, Generalized Linear Models (GLM), and Generalized Linear Mixed Models (GLMM). Recently, I have been exploring the integration of GLMM with machine learning techniques to improve model accuracy and adaptability. In the field of epidemiology, I use statistical modeling to study disease patterns and evaluate health interventions. My work in poverty and economics studies involves analyzing how socio-economic variables influence well-being using advanced regression and spatial models. My current research emphasizes hybrid modeling approaches that combine the structured inference of GLMM with the flexibility of machine learning, especially for complex data. This work aims to support sustainable and evidence-based policymaking through robust, data-driven insight.