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Dr. Andreas Gerhardus
Postdoctoral Researcher at the German Aerospace Center (DLR), Institute of Data Science Jena

Andreas is a theoretical physicist who works on a broad range of topics in causal inference with a special interest in temporal systems. He is driven by the goal to develop and implement innovative data-driven methods that help domain scientists to answer causal questions.
Andreas studied physics at the University of Bonn, staying abroad at UC Berkeley for half a year. After obtaining his doctoral degree in physics from the University of Bonn in 2019, Andreas joined the DLR-Institute of Data Science in Jena where he currently works as a scientist. During his studies and the work on his doctoral thesis, Andreas was funded by the German Academic Scholarship Foundation (Studienstiftung). In the summer terms 2021 through 2023, Andreas also has been / is a guest lecturer at the Friedrich-Schiller-University Jena where he thought / teaches a graduate-level course on the basic conceptsand methods of causal inference. Andreas has published in renowned journals and at the top-tier machine learning venue NeurIPS, and has served as reviewer for the Conference on Uncertainty in Artificial Intelligence (UAI).

Phone: +49 3641 30-960144
Mail: andreas.gerhardus@dlr.de
List of Publications: Google Scholar

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