Daniel is a PhD candidate conducting research on the interplay between data and processes. He received the Computer Science and Engineering masters degree from Eindhoven University of Technology with specialisation in Data Science in Engineering. During his master Daniel worked on probabilistic models and process discovery as part of an internship at the Process Analytics group and on knowledge graphs for improving robot operations in logistics as part of his thesis at Vanderlande Industries. His areas of interest are process mining and generative models.
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