Jakob Deich, M.Sc.
Research Associate
Research interests:
- Large language models
- Semantic technologies
- Circular economy
- Digital product passport
Biography
Jakob Deich has been a research assistant and doctoral candidate at the Institute for Technologies and Management of Digital Transformation at the University of Wuppertal since November 2023.
His academic career began at Heinrich Heine University in Düsseldorf with a bachelor's degree in physics. In the subsequent Astrophysics Master's degree at the University of Bonn, he focussed his research on the topics of data analysis and machine learning. His master thesis "Improving the PSF-anisotropy correction in Metacalibration shear measurements with machine learning" focused on the minimisation of bias in measurements with high inaccuracies using a neural network and an individual structure of the training set.
At TMDT, his research focuses on the interface between semantic technologies, large language models and use cases such as the Digital Product Passport.
