Christopher J. Anders was a research associate at the Berlin Institute for the Foundations of Learning and Data and a (post-)doctoral researcher in the Machine Learning Group at TU Berlin from November 2018 to June 2024. His research at that time encompassed explainable machine learning, specifically the detection and mitigation of spurious correlations and the robustness of feature attribution methods, software for machine learning, and machine learning for physical sciences (lattice field theory and variational quantum eigensolver). He received his B.Sc. and M.Sc. in Computer Science at Technische Universität Berlin in 2016 and 2018 respectively. He received his Ph.D. in Computer Science at Technische Univsersität Berlin in 2024. In July 2024, he left the Machine Learning Group at TU Berlin to join RIKEN AIP in Tokyo as a postdoctoral researcher.