About me
I'm a Ph.D. candidate at the Methods for Big Data group at the Karlsruhe Institute of Technology (KIT) since 2023.
I obtained a master's degree in Statistics and a bachelor's in Economics at Humboldt University in Berlin. Before returning to academia, I worked as an ML Engineer with Synthetic Aperture Radar data.
My work revolves around (partially) Bayesian neural networks: How to estimate them, how they quantify uncertainty and where it's best to apply them. Application-wise, I'm most interested in signal processing.
Talks & Slides
- Honey, I broke the PyTorch model >.< - Debugging custom PyTorch models in a structured manner - Talk at PyCon DE, 2023
- Marginally calibrated response distributions for end-to-end learning in autonomous driving (manim-animated slides) - Talk at the German Statistical Week, 2022
Publications
- Marginally calibrated response distributions for end-to-end learning in autonomous driving - Annals of Applied Statistics, 2023
Prizes
- Young Statistican Award for the best Master thesis - German Statistical Association (DStatG), 2022
Other
- Take a look at the Rapid Response Insights project I worked on as an ML Engineer at LiveEO to identify storm damages on radar images (German).