CV
Contact Information
| Name | Giovani de Almeida Valdrighi |
| Professional Title | PhD Student |
| giovani.valdrighi@ic.unicamp.br | |
| Location | Campinas, São Paulo |
| Website | https://giovanivaldrighi.github.io/ |
Professional 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.
Experience
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2026 - Present Visiting Researcher
Probabilistic Machine Learning Group, Saarland University
Research in Performative Decision-making with Multiple Objectives.
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2023 - Present Researcher Assistant
Recod.AI Lab, UNICAMP
Research in trustworthy machine learning, with a main focus in fairness and explainability.
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2025 - 2026 Teaching Assistant
Universidade Estadual de Campinas
Teaching assistant for Mathematical Foundations of Computing and Algorithm Analysis.
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2026 - 2026 Organization Committee
IV H.IAAC Workshop
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2023 - 2026 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.
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2025 - 2025 Organization Committee
Workshop for Thesis and Dissertations (WTD) 2025
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2025 - 2025 -
2025 - 2025 Organization Committee
III H.IAAC Workshop
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2024 - 2024 -
2024 - 2024 -
2020 - 2024 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.
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2019 - 2023 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.
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2023 - 2023 Visiting Researcher
Visualization Imaging and Data Analysis Center (VIDA), NYU
Deep learning for predicting socioeconomic indices from remote sensing data.
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2018 - 2020 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.
Education
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2023 - Present Campinas, Brazil
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2022 - 2024 Rio de Janeiro, Brazil
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2018 - 2021 Rio de Janeiro, Brazil
Awards
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2026 -
2026 -
2025 -
2025 -
2024 -
2024 -
2024 -
2023 -
2022 Scholarship Holder (PROSUP)
CAPES
Scholarship (tuition fee) holder in the Graduate Support Program for Private Education Institutions (PROSUP).
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2022 -
2018 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.
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2011 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.
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2014 Brazilian Astronomy and Astronautics Olympiad (OBA)
Brazilian Society of Astronomy (SAB)
Participation with a bronze medal.
Publications
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2026 Long-term Fairness with Selective Labels
Algorithmic Fairness Across Alignment Procedures and Agentic Systems Workshop on ICLR
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2026 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
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2025 -
2025 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.
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2024 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
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2023 MoReVis: A Visual Summary for Spatiotemporal Moving Regions
IEEE Transactions on Visualization and Computer Graphics