Since September 2025, Tim Ebert has been a PhD candidate at TU Berlin and a research associate at BIFOLD. His research interests lie in machine learning for quantum chemistry and physical systems. He received his Master’s degree in Physics from Ruprecht-Karls-Universität Heidelberg, where he worked on orbital-free density functional theory using deep geometric machine learning.

Interests
  • Geometric Deep Learning
  • Quantum Chemistry
  • Molecular Dynamics
  • Message Passing Neural Networks
  • Neural Operators
Education
  • M.Sc. Physics, 2021-2024

    Ruprecht Karl University of Heidelberg

  • B.Sc. Physics, 2018-2021

    Justus Liebig University Giessen