Felix is a Senior Data Scientist at Fresenius Medical Care Data Solutions. He excels on challenging data-driven-projects.
Before starting in the medical technology sector, he founded a consulting company working on the explainability of deep learning decisions with clients in the automotive industry and natural language-processing of technical publications in the aviation industry.
Felix taught and researched in the Machine Learning group at TU Berlin, the Institute of Pure and Applied Mathematics at UCLA, and the Max Planck Institute of Microstructure Physics. He holds a PhD in data science, a MSc in computer science and a BSc in pure mathematics.