Viola Rädle
Viola Rädle works at the interface between environmental and data science. She discovered her interest in environmental dynamics while studying physics at the University of Heidelberg. In her master's thesis, she researched groundwater systems and later deepened this topic through Bayesian data analysis. She expanded her Python skills as a junior researcher at HTWK Leipzig, where she worked on asphalt recycling and alternative methods of hydrogen production. Since 2023, she has been working as a data scientist at the Federal Environment Agency's AI Lab, where she supports authorities in the field of digitalization and data analysis. In addition to developing prototypes, where she is responsible for programming, project organization and science communication, she gives exciting and accessible lectures in the field of artificial intelligence.
KI-Lab (Umweltbundesamt)
Session
gamma_flow is an open-source Python package for real-time spectral data analysis. Designed for speed and efficiency, it avoids large models, opting instead for a novel supervised dimensionality reduction approach. This enables seamless denoising, classification, and disentangling of single-label or multi-label spectra.