MSc. Computer Science, University of Bonn

Research Assistant @AML Lab, University of Bonn

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I am a Master's student in Computer Science at Universität Bonn, specializing in machine learning and self-supervised learning. Currently, I serve as a Research Assistant in the Applied Machine Learning Lab, focusing on techniques for human brain image interpretation. I am passionate about advancing AI-driven solutions for medical applications.

Areas of Impact:

• Previously, at ZB Med (Uniklinikum Köln), I developed FAIR-compliant ontologies for research software and a recommendation system.
• At EISLAB, Luleå University of Technology, I worked on contrastive learning frameworks for diabetic retinopathy detection, achieving state-of-the-art results.
• My research has been published in conferences like ICIP and IJCNN, and I hold a patent for a real-time pothole detection system.

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