Jakob Deich, M.Sc.
Scientific Researcher
Area of Research:
- Machine learning and Deep learning
- Natural Language Processing
- Data analysis and processing
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 focused 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 minimization 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 data analysis and the potential of language models in the field of circular economy data.
