I am a data science researcher interested in 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, advised by Salvatore Ruggieri. As an Early-Stage Researcher with NoBIAS ITN, I was a recipient of a Marie Skłodowska-Curie Action and a member of the University of Pisa’s KDD Lab. Previously, I studied Econometrics and Empirical Economics (MSc) at the Toulouse School of Economics, and Economics and History (BA) at the University of Florida. I also worked at Deloitte as a Senior 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.