Alexander Marx

Alexander Marx is Professor of Causality at TU Dortmund University's Research Center for Trustworthy Data Science and Security since June 2024. He holds a PhD in Computer Science from Saarland University (2021) and an MSc in Bioinformatics from Saarland University (2016).

His research spans causality, causal discovery, causal representation learning, information theory, and Bayesian deep learning, with applications in biomedical domains. These interdisciplinary approaches connect statistical methodology with healthcare informatics challenges.

Recent publications reflect strong focus on causal identifiability theory, mutual information estimation, and medical applications including diabetes management and anomaly detection. Methodological innovations appear in causal structure learning, information-theoretic frameworks, and transfer learning for clinical predictions.