Coordination of a team of data scientists who have been working on the following projects carried out by the World Bank in Brazil:- Disruptive Technologies for Development: Creation of algorithms and decision support system that allow the detection of hundreds of corruption risk patterns applied to Brazilian public spending, with more than 600 billion reais already analyzed.- Strategic Sourcing: Creation of algorithms and decision support system for real-time assessment of the quality of federal public procurement.- Impact Assessment of the Federal Government Price Panel: Use of data science and econometric models to analyze the impact of the Price Panel, an intervention adopted in 2015 by the Federal Government

Led a team of data analytics working in cooperation with Brazilian authorities in the context of the IMF Anticorruption Challenge. I coordinated a team that has developed a tool for optimizing the Detection of Beneficial Ownership of High-RIsk Firms in Brazil.

Elaborated the technical definition of algorithms for risk detection in the context of public procurement. Worked with multidisciplinary teams at the Applied Mathematics School and Law School, at FGV.

Coordination of a team of researchers that carried out three national assessments of the quality of the implementation policies of the Law on Access to Information and Open Data at the municipal and state levels. Research unit: Program for Public Transparency at FGV