About Me
Christopher J. Anders is a postdoctoral researcher at RIKEN AIP in Tokyo since 2024. His research includes 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.
- Adversarial Machine Learning
- Deep Learning
- Feature Attribution
- Gaussian Process Regression
- ML for Physical Sciences
- Model Understanding
- Quantum Computing
- Representation Learning
- Software
- Spurious Correlations
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PhD Computer Science (2024)
Technische Universität Berlin
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M.Sc. Computer Science (2018)
Technische Universität Berlin
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B.Sc. Computer Science (2016)
Technische Universität Berlin