Summary
Gonzalo Rivero is a social scientist and data science leader with 11 years of experience building research-to-practice teams and operationalizing AI/ML in mission-driven organizations. Currently founding and directing WMATA’s Data Lab, he leads applied AI research, academic partnerships (including long-term work with MIT), and modernization of transit analytics and infrastructure. Previously he scaled Pew Research Center’s Data Labs into a professional unit, set organization-wide generative AI policy, and democratized advanced methods across a major nonpartisan research institution. His background spans federal contracting and commercial research settings where he built ML practices for multimodal data, causal inference, and MLOps across public health, education, transportation, and justice domains. Trained as a political scientist (PhD-level), he blends rigorous social science methods with practical deployment experience to ensure responsible, impact-driven AI.
11 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Political Science and Government, Doctor of Philosophy - PhD, Political Science and Government at New York University