CV

Contact Information

Name Giovani de Almeida Valdrighi
Professional Title PhD Student
Email 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

  • 2026 - Present
    Visiting Researcher
    Probabilistic Machine Learning Group, Saarland University
    Research in Performative Decision-making with Multiple Objectives.
  • 2023 - Present
    Researcher Assistant
    Recod.AI Lab, UNICAMP
    Research in trustworthy machine learning, with a main focus in fairness and explainability.
  • 2025 - 2026
    Teaching Assistant
    Universidade Estadual de Campinas
    Teaching assistant for Mathematical Foundations of Computing and Algorithm Analysis.
  • 2026 - 2026
    Organization Committee
    IV H.IAAC Workshop
  • 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.
  • 2025 - 2025
    Organization Committee
    Workshop for Thesis and Dissertations (WTD) 2025
  • 2025 - 2025
    Student Volunteer
    ACM FAccT 2025
  • 2025 - 2025
    Organization Committee
    III H.IAAC Workshop
  • 2024 - 2024
    Volunteer
    UNICAMP DETIC "Perspectivas da IA Generativa"
  • 2024 - 2024
    Student Volunteer
    ACM FAccT 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.
  • 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.
  • 2023 - 2023
    Visiting Researcher
    Visualization Imaging and Data Analysis Center (VIDA), NYU
    Deep learning for predicting socioeconomic indices from remote sensing data.
  • 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

  • 2023 - Present

    Campinas, Brazil

    PhD
    Universidade Estadual de Campinas
    Computer Science
  • 2022 - 2024

    Rio de Janeiro, Brazil

    MSc
    School of Applied Math, Getulio Vargas Foundation
    Mathematical Modeling
  • 2018 - 2021

    Rio de Janeiro, Brazil

    BSc
    School of Applied Math, Getulio Vargas Foundation
    Applied Mathematics

Awards

Publications

Skills

Mathematics (Master): Mathematical Modeling, Optimization, Probability
Programming Languages (Master): Python, C++, JavaScript

Languages

Portuguese : Native language
English : Fluent