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

Publications

	A Principled Approach for Data Bias Mitigation Bruno Scarone, Alfredo Viola, Renée J. Miller, Ricardo Baeza-Yates AIES '25 paper · code
	Understanding Search Behavior Bias in Wikipedia Bruno Scarone, Ricardo Baeza-Yates, Erik Bernhardson BIAS '23 at ECIR paper · code
	BiaScope: Visual Unfairness Diagnosis for Graph Embeddings Agapi Rissaki, Bruno Scarone**, David Liu, Aditeya Pandey, Brennan Klein, Tina Eliassi-Rad, and Michelle A. Borkin VDS 2022 at IEEE VIS paper · code

Preprints

The Impact of Pseudo-Science in Financial Loans Risk Prediction

Bruno Scarone, Ricardo Baeza-Yates

arXiv 2025

Teaching

CS3200: Introduction to Databases

Head Teaching Assistant at Northeastern University, Spring 2025 (111 students).

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.

Algorithms (Programación 3)

Teaching Assistant at Universidad de la República, 2018-2021.

Mathematical Logic (Lógica)

Teaching Assistant at Universidad de la República, 2018-2021.