Giovani Valdrighi

Campinas, Brazil

I’m a third-year Ph.D. candidate in Computer Science at the Institute of Computing at the University of Campinas (IC - UNICAMP). I’m a member of the Hub of Artificial Intelligence and Cognitive Architectures (HIAAC), performing research in Trusthyworth AI, mainly in the area of fairness and explainability. I hold a MSc in Mathematical Modelling at the School of Applied at FGV and BSc degree in Applied Math from the same institution. In the last few years, I have been a researcher at the Visual Data Science Lab(VDS), working on visualization techniques for spatiotemporal data. I also had the opportunity to be a visiting researcher in the VIDA Lab at NYU Tandon, working with deep learning techniques to predict socioeconomic indexes from remote sensing data.

selected publications

ICML 2026

Long-term Fairness with Selective Labels

Giovani Valdrighi, Isabel Valera, and Marcos M. Raimundo

In Forty-third International Conference on Machine Learning, 2026

arXiv Bib PDF Code Slides

@inproceedings{valdrighi2026longterm,
  title = {Long-term Fairness with Selective Labels},
  author = {Valdrighi, Giovani and Valera, Isabel and Raimundo, Marcos M.},
  booktitle = {Forty-third International Conference on Machine Learning},
  year = {2026},
  url = {https://openreview.net/forum?id=Ykdbje3SDK},
}

FAccT 2025

M^2FGB: A Min-Max Gradient Boosting Framework for Subgroup Fairness

Jansen Silva de Brito Pereira^*, Giovani Valdrighi^*, and Marcos Medeiros Raimundo

2025

arXiv Bib PDF Code

@article{pereira2025m2fgb,
  title = {M$^2$FGB: A Min-Max Gradient Boosting Framework for Subgroup Fairness},
  author = {Pereira, Jansen Silva de Brito and Valdrighi, Giovani and Raimundo, Marcos Medeiros},
  booktitle = {Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency},
  pages = {3106--3118},
  year = {2025},
}