Regular biography
Prof. Dr. Niki Kilbertus is affiliated with the Technical University of Munich, where they are part of the Computer Science / Electrical Engineering department. Their research interests and other details are not explicitly provided in the available information. A profile page link is provided for further details.
Scholar-generated biography
Niki Kilbertus is a researcher at the Technical University of Munich and Helmholtz Munich, specializing in Machine Learning. Her work focuses on developing methods to ensure fairness and avoid discrimination in machine learning systems through causal reasoning. She explores the use of causal models to predict treatment outcomes and improve decision-making in the presence of sensitive attributes. Her research also addresses challenges in disentangled representations, counterfactual fairness, and the impact of unmeasured confounding on fairness metrics. Additionally, she investigates the application of machine learning in clinical trials and the modeling of content creator incentives on algorithm-curated platforms.