I am a machine learning scientist studying algorithmic tools for decision-making and their societal implications. My research is at the intersection of causality, trustworthy AI, and applied data science. I am currently a Postdoctoral Researcher at KU Leuven’s DTAI Research Unit working with Jesse Davis and Wouter Verbeke.

Previously, I obtained my PhD in Data Science at the Scuola Normale Superiore, advised by Salvatore Ruggieri. During my PhD, I was a Research Fellow at the KDD Lab and a Marie Skłodowska-Curie Fellow with NoBIAS ITN. Before that, I worked at Deloitte as a quantitative risk modeler. Before that, I studied Econometrics and Empirical Economics (MSc) at the Toulouse School of Economics, and Economics (BA) and History (BA) at the University of Florida where I attended as a Davis UWC Scholar. I am from Caracas, Venezuela.

For more information, see my CV.

For papers and preprints, see my Google Scholar, dblp, and arXiv.