‘Ramón y Cajal’ Fellow

Universitat de Barcelona

LMU Munich

I am “Ramón y Cajal” fellow at the Universitat de Barcelona. I develop and tailor solutions for social science research methods, including current developments in Bayesian inference, data visualization, probabilistic programming, experimental designs and machine learning. I have substantial contributions in comparative politics, public administration, public policy, international relations and psychology.

I have worked in the fields of global governance and IGOs, the diffusion of policies and institutions and the processes of development of regulatory agencies. I work also on Internet and e-Government diffusion and other related aspects of the public management of the Information Society, which lately include the adoption of Artificial Intelligence in public administration.

Interests

  • Probabilistic programming
  • Bayesian Modelling
  • Comparative Public Policy Analysis
  • Measurement
  • Data visualization
  • Machine learning
  • Conjoint analysis
  • Regulatory Governance
  • Artificial Intelligence

Education

  • PhD in Political Science

    Universitat Pompeu Fabra

  • PGDip in Social Science Data Analysis

    University of Essex