Jaromir Savelka is a data scientist who focuses on semantic processing of unstructured legal data.
He earned a B.S. in computer science and a J.D. from the University of Masaryk and completed a PhD in Intelligent Systems at the University of Pittsburgh. He has extensive experience with text categorization, information retrieval and transformation of unstructured data into a structured representation. Jaromir has worked on reusing knowledge for automatic classification of legal texts and has experience with interactive machine learning to support legal text analysis.