I am a machine learning researcher based in Copenhagen. I do research at the interface of numerical methods and machine learning, including topics such as probabilistic numerics, differentiable programming, state-space models, or linear-algebra applications in Bayesian deep learning (Google Scholar). I write a bunch of code, mainly in Python/JAX (Github: @pnkraemer).