This episode was recorded in March 2026. Gudrun speaks again with Nadja Klein and Moussa Kassem Sbeyti who work at the Scientific Computing Center (SCC) at KIT in Karlsruhe. As a new person in our conversation we welcome Nicolas Bianco.

The research of the scientists in Nadja's MBD Lab is at the intersection of statistics and machine learning. It spans theoretical analysis, method development and real-world applications. Last time we focussed on Baysian statistics. With the help of Nicolas we want to examplify how interdisciplinary work is done and how his journey led him into this field of research. Since in this episode we very much focussed on Nicolas decision process and steps in his carrier we plan to have an episode on the topics later in the year.

Literature and further information

• Webpage of the group
• Webpage of Moussa Kassem Sbeyti
• Webpage of Nicolas Bianco
• M. K. Sbeyti and N. Klein: Depth as prior knowledge for object detection, arXiv:2602.05730, 2026

Podcasts

• Ep 42 of Vanishing Gradient, Jan 2025.
• O. Beige, G. Thäter: Risikoentscheidungsprozesse, Gespräch im Modellansatz Podcast, Folge 193, Fakultät für Mathematik, Karlsruher Institut für Technologie (KIT), 2019.
• N. Klein, M. Sbeyti, G. Thaeter: Bayesian Learning, Gespräch im Modellansatz Podcast, Folge 253, Fakultät für Mathematik, Karlsruher Institut für Technologie (KIT), 2025.