Julius Martinetz

Julius Martinetz is a doctoral researcher and research associate at the Machine Learning Group of Technische Universität Berlin. He is pursuing a PhD focused on machine-based visual element detection and clustering in historical sources, as well as graph-based learning for knowledge evolution analysis in educational historical sources. His work is part of the 'The Sphere' project at the Max Planck Institute for the History of Science (MPIWG).

Education:

• B.Sc. in Computer Science, Technische Universität Dresden (2018)
• M.Sc. in Computer Science, University of Bath, United Kingdom (2021)

Research interests include Digital Humanities, Computer Vision, and Machine Learning, with a focus on applying computational methods to historical data analysis and educational knowledge evolution studies. He is affiliated with the Machine Learning Group at TU Berlin and actively contributes to interdisciplinary projects at the MPIWG.