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PhD focused on bias propagation in agentic and generative AI-driven decision systems and its implications for trust, governance, and regulatory compliance. The project is part of an interdisciplinary
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I work on a wide range of topics with my local group and in collaboration with members of three large international collaborations. The central focus of my research is to understand how the observed
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, comprehensible and explainable machine learning explore the use of near-time data from healthcare providers to update these models over time.
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