News

Stay up to date with the latest news, publications, and events from our research group.

March 2026 — Alice Mueller’s paper on causal fairness has been accepted at ICML 2026! Congratulations Alice!

February 2026 — Bob Chen will be presenting his work on privacy-preserving federated learning at the ICLR 2026 workshop on Distributed Machine Learning.

January 2026 — We welcome David Park as a new Master’s student joining the group for his thesis project on causal effect estimation.

December 2025 — Our group co-organised a workshop on Trustworthy Machine Learning at NeurIPS 2025. Thanks to all participants for the great discussions!

November 2025 — Prof. Kilbertus gave an invited talk on Causal Fairness at the Dagstuhl Seminar on Foundations of Responsible Computing.

October 2025 — Clara Vogel received the TUM Graduate School Excellence Award for her research proposal on Bayesian causal models. Congratulations Clara!

September 2025 — We have two open PhD positions in trustworthy machine learning. See our Join Us page for details!

July 2025 — Prof. Kilbertus received funding from Helmholtz AI for the new project on uncertainty quantification with Bayesian causal models.

June 2025 — Congratulations to Dr. Eva Fischer on successfully defending her PhD thesis! Eva will join XYZ Labs as a Research Scientist.

April 2025 — New preprint: “Differentially Private Federated Learning with Adaptive Clipping” by Bob Chen and Niki Kilbertus. [arXiv]