Daniel Thilo Schroeder is a researcher focusing on computational methods in the project. He is a Postdoc at Simula Research Laboratory and former research associate at the Technical University Berlin where he worked in cooperation with the Department of Advanced Computing and System Performance, as well as the Department for Complex and Distributed Systems. His research focuses on exploring the spread of misleading information in online social media. Daniel supports the DDMAC project first and foremost by analysing and processing large-scale Twitter networks. He uses network methods to map and visualize the dynamics of digital media networks.