Johan Krause

Data Science Project in the Web Science research lab at the Institute of Applied Informatics (AIFB) of KIT. Modeling and transformation of large-scale scientific data set. Tailoring and application of conventional embedding approaches and graph neural networks for determining entity representations in high-performance compute environment. Collaboration and research with external software partner.

Working student position at prenode, an AI spin-off from the KSRI at KIT. prenode enables industrial companies to implement and scale AI applications. I was responsible for activities surrounding website, business development and customer success. Further the communication and marketing of complex AI and machine learning topics for the B2B sector.

Working student and intern at Robert Bosch GmbH in central digitalization project. Design and coordination of strategy for product data centralization to transform siloed product data. Collaboration with company divisions and external partners. Development of a WeChat chatbot app for Chinese market in cooperation with project teams at Chinese locations.

Fellowship with the German Academic Exchange Service (DAAD) Topic: SemOpenAlex - A Large-scale Knowledge Graph and Entity Embeddings of OpenAlex

Focus: Data Science & AI

Focus: Digital Services