is a Thomas Bayes Fellow of MCML and Interim Professor at the Chair of Statistical Learning and Data Science at LMU Munich.
His research advances explainable AI (XAI) by developing theoretically grounded, efficient methods for interpreting machine learning models, focusing on scalable and reliable Shapley-based explanations.
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2025-10-01 - Last modified: 2025-10-01