I am a post-doctoral researcher in Computational Social Science at the Institute of Public Administration at the Faculty of Governance and Global Affairs at Leiden University, Netherlands. I hold a DPhil (PhD) in Politics from the University of Oxford, United Kingdom. Before my DPhil, I earned an MA (1st) in Political Science and a BA (2:1) in Public Administration, both from the Universidad de Chile.

In addition, in Chile, I am a lecturer in the School of Public Administration at the Universidad Diego Portales and a research associate at the Training Data Lab, a research group focused on data mining, econometric modelling and AI machine learning in social sciences.

My research interests lie in the intersection of comparative politics and government, focusing mainly on cabinets, political regimes and civil services. Methodologically, my interests rely on the application of quantitative text analysis, machine learning methods and causal inference strategies in the comparative politics field. In the last years, my work has been published in The International Journal of Press/Politics, World Development, Government and Opposition, The British Journal of Politics and International Relations, Bulletin of Latin American Research and elsewhere.

During my post-doctorate, I will be working on a research project funded by the Dutch Research Council (NWO) related to automated text analysis of investment data to study the effects of governance on sustainable investments. Specifically, I will employ Natural Language Processing (NLP) and text-as-data techniques to find patterns and topics within big text data. In addition, I will teach the Institutions of Governance and Development course at Leiden University College.