Doctoral Candidates

Daniel Leuthe

Curriculum Vitae
Daniel Leuthe completed his A-levels at the Justus-von-Liebig-Gymnasium in Augsburg, Germany in 2012. From 2012 to 2015, he studied industrial engineering and management (Bachelor of Science) at the University of Augsburg. After a stay abroad and an internship at an energy supplier, Daniel finished his inter-university master’s program at the University of Hamburg with a major in energy technology at the end of 2019. He gained numerous practical experiences, for example at the IT consultancy Senacor, KUKA AG and Vattenfall. Before his start at the FIM Research Center he worked as a Data Scientist at the Economic AI GmbH. Daniel is a Doctoral Candidate since January 2021 in Augsburg.
Main Research
Within his research activities, Daniel mainly focuses on data science and Machine Learning as well as its implications for existing products and services.
Alter Postweg 101
Augsburg 86159