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Status : PhD Student

Title of thesis  : Trustworthy Algorithms for Supervised Machine Learning with ill-defined Quality Criteria

Research Topic / Interests : The idea behind my thesis topic is to reduce the dependency of machine learning models on the specific choice of the quality criterion and the loss function. This falls within the growing field of trustworthy AI. Other research interests include embeddings for categorical variables and synthetic data generation.

ARIAC Work Package : WP1 -interactions between humans and AI: interactive/human-in-the-loop algorithms, user assistance/AI-in-the-loop, consensus mechanisms, imperfect multi-expert labels, explainable AI