A warm welcome to my team members at University of Bayreuth!
Betty studied computer science at the Hubei University of Technology-China and completed her master's thesis on "A pharmacy management system based on support vector machines and optical character recognition". She has worked on research in the areas of machine learning, embedded systems, support vector machines and big data. Now, she focuses on topics related to context-awareness in social networks, natural language processing, social network analysis and interdisciplinary approaches to problem solving.
Durgesh has completed her Master's degree in Computer Science from the University of Trento, Italy and her Bachelor of Technology in Information Technology from Maulana Abul Kalam Azad University of Technology, India. She works in Natural Language Processing, Artificial Intelligence, Big Data and the Semantic Web. She is currently working on the "KONECO" project, where she will apply graph embedding methods to complex data structures.
PhD student, https://baumanno.de/
Oliver will contribute to the research and extension of a digital infrastructure connecting different aspects of scientific effort conducted within the Cluster of Excellence "Africa Multiple". His research topics include mining of metadata, Natural Language Processing, and discovery and visualization of latent structure in heterogeneous data. Oliver is an eager Pythonist, although lately he has become interested in bringing languages such as Go and Rust further into the scientific ecosystem.
Former Student Assistants¶
Benedikt will support the team as a student assistant and tutor, preparing excercises for students to learn the programming language R. As a graduate student of Media Culture and Economy, and also from personal learning experience, he knows that some humanities students can struggle with programming. He hopes to help his fellow students overcome their fear and show them that working with data can be both fun and useful.
Alina is a master's student in business administration. She complements her master's degree with the supplementary course of studies "Data Literacy", in which she deals with data analysis and concrete questions using programming languages such as R and Python. She is currently writing her master's thesis at the interface of Machine Learning and Process Improvement. After graduation, she would like to work in industry combining her domain knowledge in processes, logistics and purchasing with data science techniques.