Lorenz Linhardt is a research associate at the Berlin Institute for the Foundations of Learning and Data (BIFOLD) and pursuing a PhD at the Machine Learning Group of TU Berlin. His research focuses primarily on robustness of deep neural networks against spurious correlations and on representation learning.

Interests
  • Explainable AI
  • Robust Machine Learning
  • Machine Learning for Medical Applications
  • Representation Learning
Education
  • M.Sc. Computer Science, 2019

    ETH Zürich

  • B.Sc. Computer Science, 2016

    University of Vienna