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
ECML PKDD'26 (to appear) | |
FAccT'26 | |
AIES'25 | |
BIAS'23 at ECIR | |
VDS 2022 at IEEE VIS |
Preprints
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.
