Dr. Niki Kilbertus

Biography

Niki Kilbertus is an Assistant Professor at the Technical University of Munich (TUM), where he leads a research group focused on the ethical consequences and trustworthiness of machine learning algorithms. His research integrates elements of machine learning and causal inference, particularly in the context of automated decision-making and dynamic environments. He obtained his PhD in Machine Learning from the University of Cambridge, UK, as part of a joint program with the Max Planck Institute for Intelligent Systems in 2020. Before joining TUM, he was a Young Investigator Group Leader at Helmholtz AI, at the Helmholtz Center Munich. His academic contributions include significant publications in prominent conferences such as NeurIPS and ICML, where he addresses topics like fairness in machine learning and causal reasoning. Kilbertus's work emphasizes the intersection of algorithmic design and social implications, aiming to enhance the reliability and ethical standards of AI systems.

Research Interests

Experience