Jakob Deich

Jakob Deich is a Research Associate and doctoral candidate at the Institute for Technologies and Management of Digital Transformation (TMDT) at the University of Wuppertal since November 2023, specializing in the convergence of semantic technologies, large language models, and circular economy applications.

His academic background includes:

• Bachelor of Science in Physics from Heinrich Heine University Düsseldorf
• Master of Science in Astrophysics from the University of Bonn with focus on data analysis and machine learning

Deich's research centers on Large Language Models and Semantic Technologies to advance Circular Economy frameworks, particularly through Digital Product Passport systems. His work optimizes data integration for sustainability applications, building on his master's thesis that reduced measurement bias in astrophysical data using neural networks with customized training architectures.

His 2025 publication establishes foundational methods for connecting generalized DPP ontologies with domain-specific data sources, demonstrating how knowledge graph technologies can operationalize sustainability metrics across supply chains.

As a doctoral candidate, Deich focuses on his own research without advising students. His current work at TMDT involves collaborative development of semantic frameworks for industrial sustainability applications.

Deich actively contributes to the TMDT research ecosystem at the University of Wuppertal, collaborating with Loeb, Meins-Becker, Meisen, and Pomp on digital transformation projects targeting circular economy implementation.