I am a professor at TU Dortmund, leading the Causality group at the Research Center for Trustworthy Data Science and Security and the Department of Statistics, and a member of the ELLIS society. My research is at the intersection of causality and machine learning, focusing on causal discovery, causal representation learning, information theory, and Bayesian deep learning. Prior to my current position, I was a Postdoctoral Researcher Computational Biology Group at ETH Zürich, a Postdoc-Fellow at the ETH AI Center and part of the Medical Data Science Group. I did my PhD in the Exploratory Data Analysis group affiliated with the CISPA Helmholtz Center for Information Security and the Max Planck Institute for Informatics.

News

• (Nov 2025) New preprint is out: "Skewness-Robust Causal Discovery in Location-Scale Noise Models"
• (Sep 2025) Two papers of our group have been accepted to NeurIPS workshops - one on causal inference under selection bias and one on IV regression with high-dimensional treatments.
• (Sep 2025) New paper at TMLR "Two Is Better Than One: Aligned Representation Pairs for Anomaly Detection".
• (Sep 2025) Marlies Hafer and Daniel Klippert presented their work at the PhD Forum at ECML-PKDD.
• (May 2025) I gave an invited talk at the TRR391 at TU Dortmund.
• (Mar 2025) We published a new preprint "Regression-Based Estimation of Causal Effects in the Presence of Selection Bias and Confounding" accompanying the poster we presented at DAGStat 2025.
• (Mar 2025) Our paper "A Cautionary Tale About 'Neutrally' Informative AI Tools Ahead of the 2025 Federal Elections in Germany" got accepted at XAI.
• (Feb 2025) I gave an invited talk at LMU in Munich (invitation by Stefan Feuerriegel).
• (Jan 2025) New paper at TMLR "On the Properties and Estimation of Pointwise Mutual Information Profiles", accompanied with this blogpost by Paweł Czyż.
• (Nov 2024) Our paper "Transfer Learning for Pediatric Glucose Forecasting" has been accepted as a spotlight at the ML4H Symposium, and two papers have been accepted to workshops at NeurIPS.
• (Sep 2024) I gave a talk in the AIMS Lecture Series in Essen.
• (Aug 2024) Our paper "Predicting Risk for Nocturnal Hypoglycemia after Physical Activity in Children with Type 1 Diabetes" got accepted at Frontiers in Medicine
• (Jun 2024) I gave a talk at the DoDaS Colloquium in Dortmund.
• (Jun 2024) I started as a professor in Causality at TU Dortmund.
• (Feb 2024) I became a member of the ELLIS society.
• (Feb 2024) Accepted poster at RECOMB on "Gene-level Inference of Regulatory effects As Factorization of Function of Expressions" or short GIRAFFE.
• (Jan 2024) Or submission "Exploiting Causal Graph Priors with Posterior Sampling for Reinforcement Learning" has been accepted to ICLR'24.
• (Jan 2024) I joined the Computational Biology Group led by Niko Beerenwinkel!

For more updates access the news arxiv.

Activities

Reviewing for Conferences & Journals

• Area Chair for the International Conference on Artificial Intelligence and Statistics (AISTATS'26)
• Reviewer for the Conference on Neural Information Processing Systems (NeurIPS'23 [Top 10% Reviewer Award],24,25)
• Reviewer for International Conference on Learning Representations (ICLR'26)
• Reviewer for the International Conference on Machine Learning (ICML'22,23,24)
• Reviewer for the International Conference on Artificial Intelligence and Statistics (AISTATS'21,22 [Top 10% Reviewer Award],23[Top 10% Reviewer Award],24, 25)
• PC Member for the AAAI Conference on Artificial Intelligence (AAAI'26)
• PC Member for the SIAM International Conference on Data Mining (SDM'21)
• PC Member for the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD'21)
• Reviewer for the Machine Learning for Health Symposium (ML4H'22,23)
• Reviewed for the journal Data Mining and Knowledge Discovery (DAMI'22)
• Reviewed for the journal IEEE Access in 2020
• Reviewer for the IEEE International Symposium on Information Theory (ISIT'19,20)
• PC Member for the workshops AAAI-ITCI'22 and NeurIPS-TS4H

Invited Talks

• AIMS Lecture Series, Institute for Artificial Intelligence in Medicine, Essen, 2024
• DoDaS Colloquium, Center for Data Science & Simulation, TU Dortmund, 2024
• Neuro-Mechanistic Modeling group, DFKI Saarbrücken, 2023
• Faculty of Business and Economics, University of Lausanne, 2023
• Statistical Colloquium, TU Dortmund, 2023
• Tutorial at Machine Learning Summer School in Healthcare and Biosciences, 2022
• Data Mining reading group, TU Eindhoven (virtual), 2020
• CWI Machine Learning Seminar, CWI Amsterdam, 2019
• Explanatory Data Analysis group, Leiden University, 2019