PhD Student for Data Science
at Bielefeld University
About Me
I am a PhD student in computer science working at the Semantic Computing Group at Bielefeld University, Germany. My research focuses on Federated Learning, particularly within the healthcare domain. Previously, I contributed to the KINBIOTICS project funded by the German Federal Ministry of Health, which concluded in 2024. Since then, I have continued exploring Federated Learning with a specific focus on its applications in healthcare.
Beyond Federated Learning, I am broadly interested in enhancing medical treatment through data-driven Clinical Decision Support Systems and the use of explainable Artificial Intelligence. My goal is to leverage data science and machine learning techniques to address real-world challenges in healthcare and improve patient outcomes.
Originally from a small town of North Rhine-Westphalia, Germany, I received my B.Sc. in Business Information Systems at FHDW Paderborn, Germany and my Master's degree (M.Sc. Business Information Systems, focusing on Data Science) at Paderborn University. During that time, I worked at Bertelsmann SE & Co. KGaA for four years and joined the Social Computing Group of Paderborn University as Student Assistant. Finally, I joined the Semantic Computing Group in October 2021.
My research interests include:
We share some research interests? Feel free to contact me to exchange some ideas!
We present a prototypical application for antibiotic resistance surveillance and monitoring in the German region Ostwestfalen-Lippe using the data from three local hospitals.
Our study aims to analyze the feasibility of an AI-based CDSS pilot version for antibiotic therapy in sepsis patients and identify facilitating and inhibiting conditions for its implementation in intensive care medicine.
We introduce GATE-SR, a social recommender system that uses graph neural networks to model deeper social influences and improve recommendation accuracy, especially in cold-start scenarios.
I presented our paper titled "Leveraging Local Data Sampling Strategies to Improve Federated Learning" at the International Journal of Data Science and Analytics's Journal Track
Courses:
Furthermore I actively participate in maintaining academic operations in the following capacities:
