CV

Basics

Name Simone Antonelli
Label Ph.D. Student
Email [first].[last]@cispa.de
Summary My interests lie in the inner workings of neural networks to make their predictions more trustworthy. One focus area of my research is data attribution and (graph-based) machine learning.

Education

Work

  • 2024.10 - 2024.12

    Remote

    Machine Learning Intern
    Amboss Technologies
    Developed strategies for predicting force closures on the Bitcoin Lightning Network using a temporal graph network (TGN).
    • Temporal Predictions on the Lightning Network
  • 2023.04 - Present

    Cologne, Germany

    Teaching Assistant
    University of Cologne
    Designed lecture material, homework and in-class sessions for Machine Learning and Advanced ML courses covering topics such as probabilistic inference, generative modelling, robustness and explainability.
    • Machine Learning SS 2025
    • Advanced Machine Learning WS 2025
    • Machine Learning SS 2024
    • Advanced Machine Learning WS 2024
    • Machine Learning SS 2023
    • Guest lecture on Machine Learning libraries (~50 attendees) in Machine Learning SS2024 and SS2025

Publications

Awards

Volunteer

  • 2025.05 - Present
    Reviewer
    NeurIPS 2025
  • 2025.05 - 2025.06
    Reviewer
    The European Journal of Artificial Intelligence
  • 2024.10 - 2024.10
    Reviewer
    ATTRIB @ NeurIPS 2024 Workshop
  • 2024.08 - 2024.11
    Reviewer
    Learning on Graphs Conference (LoG) 2024

Skills

Programming Languages
Python
C++
Java
Libraries & Frameworks
NumPy
Scikit-learn
Matplotlib
PyTorch
PyTorch Geometric (PyG)
PyTorch Lightning
WandB
Tools & Version Control
Git
Docker
Other Technologies
Linux
Shell (Bash/Zsh)
Slurm
LaTeX