Daniel Jorde received his B.Sc. in Information Systems from the Cooperative State University Ravensburg (DHWB Ravensburg) in 2015 and his M.Sc. in Information Systems from the Technical University of Munich (TUM) in 2018. During his B.Sc., he worked for a German SAP consulting company as a software developer. Afterward, he specialized in machine learning and to further develop his data science skills he spent a semester abroad at the University College Dublin (UCD), Republic of Ireland. Currently, he is pursuing his Ph.D. at TUM working on the MobiCM project. His research interests include various topics in the area of non-intrusive power monitoring, predictive maintenance, and machine learning for electrical systems.