Sebastian SchelterI am an Assistant Professor with the University of Amsterdam, conducting research at the intersection of data management and machine learning. My work addresses data-related problems that occur in the real world application of machine learning. Examples are scalable data quality validation, data debugging for machine learning pipelines, or enforcing the “right-to-be-forgotten” in deployed machine
