About me

I am a fifth-year PhD candidate in Computer Science at Northeastern University, where I am fortunate to be advised by Renée J. Miller and Ricardo Baeza-Yates.

My research focuses on algorithmic fairness and responsible AI, specifically developing principled mathematical frameworks for measuring and mitigating data bias. I am interested in providing formal guarantees for fairness rather than relying on ad-hoc heuristics.

Previously, I was a research intern at the Wikimedia Foundation and a senior consultant at Deloitte Uruguay. I received my Computer Engineering degree from Universidad de la República, Uruguay (5-year program; ranked 1/594 at graduation).

Research Interests

  • Algorithmic Fairness
  • Responsible AI
  • Bias Measurement and Mitigation

News

  • [June’26] Presented our paper on bias mitigation under coverage constraints at FAccT’26
  • [March’26] Our paper “The Illusion of Improvement: Reject Inference Strategies in Credit Scoring” was accepted to ECML PKDD’26
  • [March’26] AIHub published my blog post on our AIES’25 paper

Publications

Bruno Scarone, Ricardo Baeza-Yates
ECML PKDD'26 (to appear)
Bruno Scarone, Alfredo Viola, Renée J. Miller
FAccT'26
Bruno Scarone, Alfredo Viola, Renée J. Miller, Ricardo Baeza-Yates
AIES'25
Bruno Scarone, Ricardo Baeza-Yates, Erik Bernhardson
BIAS'23 at ECIR
Agapi Rissaki*, Bruno Scarone*, David Liu, Aditeya Pandey, Brennan Klein, Tina Eliassi-Rad, and Michelle A. Borkin
VDS 2022 at IEEE VIS

Preprints

Bruno Scarone, Ricardo Baeza-Yates
arXiv 2025

Teaching

CS3000: Algorithms and Data

Teaching Assistant at Northeastern University, Fall 2024, Co-taught by four instructors (409 students).

CS1800: Discrete Structures

Teaching Assistant at Northeastern University, Summer 2024, Spring 2026.

Fundamentals of Cryptography

Teaching Assistant (graduate course) at Universidad de la República, 2019, 2021.