I am a machine learning researcher, studying tools for algorithmic decision-making and their societal implications. Broadly, my research is at the intersection of causal resoning, statistical inference, and trustworthy AI. I am currently a Postdoctoral Researcher at KU Leuven’s DTAI 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’s KDD Lab, 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 Risk Modeler, specializing in financial and operational risk.

For more about me, see my CV.

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

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