cv
Basics
| Name | Giovani de Almeida Valdrighi |
| Label | PhD Student |
| giovani.valdrighi@ic.unicamp.br | |
| Url | https://giovanivaldrighi.github.io/ |
| Summary | Third-year Ph.D. candidate in Computer Science at the Universidade Estadual de Campinas, performing research in fairness, explainability, and trustworthy machine learning. MSc in Mathematical Modelling and BSc in Applied Mathematics, both at Getulio Vargas Foundation. Previously, performed research in visualization for spatiotemporal data, with published papers at high-impact conferences. |
Work
- 2025.02 - Present
Teaching Assistant
Universidade Estadual de Campinas
Teaching assistant for Mathematical Foundations of Computing and Algorithm Analysis.
- 2023.08 - Present
Researcher Assistant
Hub of Artificial Intelligence and Cognitive Architectures (H.IAAC), UNICAMP
Researcher assistant under the theme of AI for Finance, working on the development of trustworthy Machine Learning models, specifically in fairness, explainability, and long-term fairness with incomplete information.
- 2023.01 - 2023.04
Visiting Researcher
Visualization Imaging and Data Analysis Center (VIDA), NYU
Deep learning for predicting socioeconomic indices from remote sensing data.
- 2020.08 - 2024.05
Researcher Assistant
Visual Data Science Lab (VDS), FGV
Study and development of visualization techniques for spatiotemporal data. Applied machine learning methods for understanding and forecasting deforestation in Amazonia.
- 2019.02 - 2023.06
Teaching Assistant
School of Applied Math, Fundação Getulio Vargas
Data Structures and Algorithms in Undergraduate and Master's courses. Data Visualization in Ph.D course. Databases in the business education program.
- 2018.08 - 2020.07
Undergraduate Researcher
PICME/CNPq
Study of the relation between socioeconomic indexes and the results of students at ENEM. Research in the connection between causal inference techniques and machine learning methods.
Volunteer
- 2026.03 - 2026.03
- 2025.11 - 2025.11
- 2025.06 - 2025.06
- 2025.05 - 2025.05
- 2024.11 - 2024.11
- 2024.06 - 2024.06
Education
-
2023.08 - Present Campinas, Brazil
-
2022.03 - 2024.06 Rio de Janeiro, Brazil
-
2018.03 - 2021.12 Rio de Janeiro, Brazil
Awards
- 2026.04.01
Registration and travel grant
ICLR 2026
- 2025.12.01
First place team at E2LM Competition
Neurips Competitions 2025
- 2025.06.01
- 2024.12.01
Registration grant
Algorithmic Fairness through the Lens of Metrics and Evaluation Workshop
- 2024.06.01
- 2024.02.01
Registration and travel grant
TropProbAI
- 2023.08.01
PhD Scholarship Holder
FUNCAMP
- 2022.01.01
Scholarship Holder (PROSUP)
CAPES
Scholarship (tuition fee) holder in the Graduate Support Program for Private Education Institutions (PROSUP).
- 2022.01.01
MSc Scholarship Holder
School of Applied Math (EMAP - FGV)
- 2018.01.01
BSc Scholarship Holder
CDMC - FGV
Scholarship holder for the Center for the Development of Mathematics and Sciences (CDMC) of FGV. Selected due to performance at OBMEP.
- 2011.01.01
Brazilian Public School Mathematics Olympiad (OBMEP)
National Institute of Pure and Applied Mathematics (IMPA)
Awarded with one gold, four silver and two bronze medals during the years of 2011 to 2017.
- 2014.01.01
Brazilian Astronomy and Astronautics Olympiad (OBA)
Brazilian Society of Astronomy (SAB)
Participation with a bronze medal.
Publications
-
2026.04.01 Navigating the Rashomon Set: The Impact of Score Distributions and Decision Thresholds on Model Agreement
Algorithmic Fairness Across Alignment Procedures and Agentic Systems Workshop on ICLR
-
2026.04.01 Long-term Fairness with Selective Labels
Algorithmic Fairness Across Alignment Procedures and Agentic Systems Workshop on ICLR
-
2025.08.01 Best Practices for Responsible Machine Learning in Credit Scoring
Neural Computing and Applications
-
2025.06.01 M²FGB: A Min-Max Gradient Boosting Framework for Subgroup Fairness
ACM Conference on Fairness, Accountability, and Transparency
Also presented at the Algorithmic Fairness through the Lens of Metrics and Evaluation Workshop on Neurips 2024.
-
2024.02.01 Granularity at Scale: Estimating Neighborhood Socioeconomic Indicators from High-Resolution Orthographic Imagery and Hybrid Learning
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
-
2023.03.01 MoReVis: A Visual Summary for Spatiotemporal Moving Regions
IEEE Transactions on Visualization and Computer Graphics
Skills
| Mathematics | |
| Mathematical Modeling | |
| Optimization | |
| Probability |
| Programming Languages | |
| Python | |
| C++ | |
| JavaScript |
Languages
| Portuguese | |
| Native language |
| English | |
| Fluent |