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Department of Computer Science

Research

Our research focuses on Trustworthy Machine Learning  and investigates how machine-learning systems learn, generalize, and make decisions, and how they can be made reliable when data are distributed, sensitive, incomplete, or used in high-stakes environments. 

Our work is organized around four closely connected research directions.

Projects and Publications

Our research directions are connected through ongoing interdisciplinary projects and scientific publications.