David Bechtoldt holds a scholarship in machine learning with a focus on generative models, XAI and graph based learning. He completed his M.Sc. in Information Systems at the Technical University of Berlin, where his thesis studied Graph Diffusion Counterfactual Explanations.

His current interests include Generative Modeling, Computational Chemistry and Probabilistic ML.

Selected publications

• Bechtoldt, David; Bender, Sidney. Graph Diffusion Counterfactual Explanation [arXiv, 2025]