I am a PhD Candidate in Data Science at the Scuola Normale Superiore, Italy, under the supervision of Salvatore Ruggieri.

As an Early-Stage Researcher (ESR) with the NoBIAS: AI wihtout Bias ITN at the University of Pisa, Department of Computer Science, I’m also the recipient of a Marie Skłodowska-Curie Action from the European Commission.

My main research area is algorithmic fairness, with a focus on causal reasoning and data science applications for automated decision-making systems.

Feel free to reach out at jose.alvarez[at]sns.it


I co-organized the 2nd European Workshop on Algorithmic Fairness, or EWAF’23, and I am a co-founder and current member of the European Association for Algorithmic Fairness, which ensures the growth of EWAF and its eventual transition into a conference.

I am a member of the KDD Lab; NoBIAS ITN; and MD4SG.


  • 01.02.24: Policy advice and best practices on bias and fairness in AI has been accepted for publication in the Journal of Ethics and Information Technology.
  • 01.31.24: I’ll be removing The Conjunction Fallacy as a Fairness Problem from arXiv.
  • 01.24.24: I’ve updated The Initial Screening Order Problem on arXiv.
  • 01.24.24: I’ve added a new working paper, Causal Perception, on arXiv.