Kevin Kammler is an academic staff member and doctoral candidate at Johannes Gutenberg University Mainz, specializing in machine learning and data analysis. His research focuses on the critical reassessment of anomaly detection, particularly with regard to robust, unsupervised model selection and evaluation protocols. In collaboration with Mainz University Medical Center, he applies machine learning in the medical field. Furthermore, he actively investigates the capabilities of large language models (LLMs) and transformers, with particular interest in their application to software development challenges.

• Anomaly Detection & Clustering
• Deep learning
• LLMs & Generative Models

I currently supervise the following courses:

• Winter semester 2025/26: “Web Mining and Data Visualization” (further information)

For supervision of master’s theses, please contact me directly via email with initial topic proposals.