Daniel received his habilitation at Heidelberg University in the field of machine learning and data science. His startup, Pallas Ludens, enabled automotive and medical imaging companies to collect large machine learning training datasets. After about three years, in 2016, Daniel and his team joined Apple, where he worked for three years on dataset design, annotation and data quality for computer vision tasks.