I’m a Ph.D. candidate in Uncertainty Quantification and Statistical Learning at the Research Center Trustworthy Data Science and Security (UA Ruhr). Formerly, I worked as an ML Engineer, wrangling with satellite data (mostly Synthetic Aperture Radar).

My research interests are:

  • Bayesian uncertainty quantification in Deep Learning
  • Efficiently estimating intractable probability densities
  • Deep Learning for Synthetic Aperture Radar data
  • Calibrating predictive densities for DL tasks
  • Modelling disease severity trajectories based on MRI data
  • Self-supervised and unsupervised learning

Talks & Slides
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 - accepted for publication in Annals of Applied Statistics, 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)

Find my CV here.