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Basics

Name Fabian Fumagalli
Label Researcher in Explainable AI & Game Theory
Url https://fabianfumagalli.com

Work

Volunteer

  • 2011.11 - 2016.08

    Berlin Germany

    Voluntary Trainer & Coordinator
    TuSLi Berlin (Table Tennis)
    Leading Training Sessions, Coaching Competitions & Organization
    • Acquired DOSB Licence C

Academia

Workshop Organization
ECML PKDD 2023 DynXAI:

Explainable Artificial Intelligence from Static to Dynamic

ECML PKDD 2024 TempXAI:

Explainable AI for Time Series and Data Streams Tutorial-Workshop

Reviewer
AISTATS 2026
ICLR 2026
NeurIPS 2025
ICML 2025
NeurIPS 2024
ICLR 2025
AISTATS 2025
AAAI 2025
ICML 2024
NeurIPS 2024
ESANN 2024
Machine Learning Journal
Data Mining and Knowledge Discovery Journal

Education

  • 2021.11 - 2025.08

    Bielefeld, Germany

    PhD
    Bielefeld University, Bielefeld, Germany
    Machine Learning (Computer Science)
    • Explainable AI
  • 2016.08 - 2016.12

    Trondheim, Norway

    Erasmus+
    Norges teknisk-naturvitenskapelige universitet (NTNU), Norway
    Statistics
  • 2015.10 - 2018.10

    Berlin, Germany

    MSc.
    Technische Universität Berlin, Berlin, Germany
    Mathematics
    • Stochastics & Financial Mathematics
    • Mathematical Deep Learning
  • 2012.10 - 2015.11

    Berlin, Germany

    BSc.
    Freie Universität Berlin, Berlin, Germany
    Mathematics

Awards

  • 2023
    Best Paper Award
    World Conference on eXplainable Artificial Intelligence (xAI 2023)
    iPDP: On Partial Dependence Plots in Dynamic Modeling Scenarios
  • 2023
    Best Paper in Journal Track
    European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2023)
    Incremental Permutation Feature Importance (iPFI): Towards Online Explanations on Data Streams
  • 2025
    Top Reviewer
    Neural Information Processing Systems (NeurIPS 2025)
  • 2024
    Top Reviewer
    Neural Information Processing Systems (NeurIPS 2024)
  • 2024
    Best Reviewer
    International Conference on Machine Learning (ICML 2024)

Certificates

Skills

Python
torch
scikit-learn
numpy
pandas
scipy
matplotlib
Other Programming
SQL
SAS Base
JavaScript

Languages

German
Native speaker
English
Fluent
Italian
Elementary

Interests

Music & Guitar
Hiking & Skiing
Finance
Sustainability

References

Prof. Barbara Hammer
Bielefeld University
Prof. Eyke Hüllermeier
LMU Munich

Projects

  • 2023.11 - Present
    shapiq
    Shapley interactions for Machine Learning & Extension of shap
    • Feature Interactions
    • Shapley Interactions
    • Game Theory for Machine Learning