Marco Lents

Research Assistant

M.Sc., Doctoral Candidate

Adresse:      An der Weberei 5, 96047 Bamberg
Room:          WE5/04.086

E-mail:         marco.lents(at)uni-bamberg.de

Office hours: By appointment via email

Marco Lents is a doctoral candidate at Otto-Friedrich-Universität Bamberg studying “Explainable Machine Learning” since 2025.

His research is embedded in the KIBEL project (“Einsatz Künstlicher Intelligenz im Bildungswesen zur Evaluation der Leserlichkeit”), which investigates how machine learning can support handwriting assessment in educational settings. He works across both sensor and image modalities — from deep models trained on time-series data from digital pens to vision-based analysis of handwriting samples — and combines them with explainability methods so that model outputs translate into concrete feedback for students.

Between June and November 2025, prior to joining the chair, Marco worked as a software developer at SK Verbundenergie AG, a German virtual-power-plant operator, where he developed the interface between the scheduling server and the power-plant controller. He holds a Master’s degree in Physics from the University of Regensburg; his master’s thesis was in theoretical physics, titled “Topological gravity for arbitrary β”.

Outside of academia, he enjoys outdoor sports — in particular sport climbing and hiking — and generally being outside.