Yannick is a research assosiate in in the Data Analysis and Visualization group of Daniel Keim at the University of Konstanz since May of 2021. He is interested in building powerful AI tools that humans can effectively work with, understand, verify and trust. To achieve this, he explores interactive tools, visualizations as well as learning interpretable representations as a basis for automated and semi-automated decision making.
He likes to apply these new in diverse domains, such as deep reinforcement learning, computer vision, spatio-temporal modeling or decision making in medical domains.
- Interactive and Explainable Machine Learning
- Deep Learning of Interpretable Representations
- Temporospatial Modeling and Visual Analytics
|SS 2021||Programing Course 1 (Java)|
|Uncertainty-Aware Enrichment of Animal Movement Trajectories by VGI||Integration of Volutantary Geographic Information into exiting geo-spatial databases, Enhancement of existing temporospatial Analysis Tools and Prediction Models|
|PRIMAGE||Personalized Recommendations for Neurodegenerative Disease - Project PRIMAGE (PRedictive In-silico Multiscale Analytics to support cancer personalized diaGnosis and prognosis, Empowered by imaging biomarkers)|