Miguel Angel Segura Vargas

Conducted quantitative and qualitative analyses to generate data-driven insights supporting client strategies in healthcare.

Collected, structured, and cleaned data for policy evaluation and audience research in public services.

Conducted research using experimental and longitudinal datasets, applying advanced statistical models.

Analyzed large-scale datasets to identify trends and insights in social and behavioral research.

Thesis: Exploring the association between affect dynamics features and state rumination through a novel continuous affect assessment in an ESM study.