I am a data scientist researching tools for algorithmic decision-making and their societal implications. Broadly, my work focuses on the intersection of fairness, causal reasoning, and machine learning. I am currently a Postdoctoral Researcher at KU Leuven’s DTAI and LIRIS working with Jesse Davis and Wouter Verbeke.

I completed my PhD in Data Science from the Scuola Normale Superiore. I was advised by Salvatore Ruggieri and, as a NoBIAS ITN ESR at the University of Pisa, I was also the recipient of a Marie Skłodowska-Curie Action. Previously, I studied Econometrics and Empirical Economics (MSc) at the Toulouse School of Economics, and Economics and History (BA) at the University of Florida where I attended as a Davis UWC Scholar. I also worked at Deloitte as a Senior Financial & Operational Risk Modeler.

For more about me, here is my CV.

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

Reach out at jm[dot]alvarez[dot]colmenares[at]gmail[dot]com.