Dennis Ritter

Dennis Ritter is a Research Assistant at Beuth University of Applied Sciences Berlin, affiliated with the Data Science +X Graduate School. He works under Prof. Dr. Kristian Hildebrand in the SynthNet project (BMBF-funded), focusing on data quality in machine learning systems. His research spans AI applications in healthcare, including projects like COMFORT (EU-funded) for multimodal AI models in cancer care, and APPL-FM (DFG-funded) for health+cell biology integrations. He contributes to initiatives like Berlin ZOO and Cross-Lingual Knowledge Transfer for clinical phenotyping.

His technical expertise includes trustworthy AI development using medical imaging, health records, and biomarkers. Collaborations involve interdisciplinary teams addressing challenges in reproducibility and interpretability of machine learning results.