Gustavo S.

I am a PhD researcher specializing in Causal Inference, Econometrics, and Data Science, with experience analyzing health, policy, and social outcomes using complex observational and administrative datasets. My work focuses on translating rigorous statistical methods into clear, actionable evidence for researchers, public institutions, and organizations. I design and evaluate studies that answer counterfactual questions such as “What is the impact of this policy, program, or treatment?” — ensuring sound methodology, transparent workflow, and reproducible results. My expertise includes: Quasi-experimental designs — Difference-in-Differences, Matching, Instrumental Variables, Synthetic Control Time-series & environmental / health exposure analysis — Distributed Lag Non-Linear Models (DLNM), panel & longitudinal data Observational data analysis & policy evaluation Study design, modeling strategy, and interpretation of results Support for academic papers, R&Rs, and peer-review revisions Tools & workflow R (primary) • Stata • Python Reproducible scripts, version-controlled projects, clean reporting Publication-ready tables, figures, and methodological documentation What I can help you with: Data analysis for research projects or grant studies Impact / policy evaluation and causal modeling Support with methodology, robustness checks, and model interpretation Preparing results, figures, and text for journal submission or reports I value clear communication, methodological rigor, and collaborative work. Whether you need support designing a study, refining an analysis, or strengthening a paper for publication, I’m happy to help.