Since January 2025 I am working as a Senior Data Scientist at celver AG. Building on my previous experience within the Data Science team, I now take on a more strategic and leading role in designing and implementing advanced analytics solutions for our clients. My work focuses on leveraging AI and machine learning to enhance our Smart Analytics and Smart Data offerings.
I was working as a Data Scientist at celver AG. We support companies in developing a holistic management model with innovative solutions and digitalising the relevant analysis and planning processes. To get there, we use different solution strategies, such as Smart Planning, Smart Analytics, Smart Data and Smart Cloud. I myself am part of the Data Science team.
I was a PhD student at the University of Lübeck, studying computer science with a focus on medical applications. I have been mainly working on a BMBF project called PainMonit with the aim of building automated pain recognition systems based on physiological sensor modalities.
Thesis title: "Machine Learning Methods for Pain Investigation Using Physiological Signals"
Computer Science with Medical Application
Thesis title: "Attention-based Approaches for Interpretability of CNN Models for Human Activity Recognition"
I worked as a student assistant in the Pattern Recognition Group at the University of Siegen. My work included the lead of the WP6 "Data Fusion, Analytics and other Services", organisation and implementation of a DSS in the frame of the Horizon 2020 project "my-AHA".
Computer Science with Medical Application
Thesis title: "Classification of physiological data for emotion recognition"