I am a PhD student at the Max-Planck-Institute for Intelligent Systems where my supervisor is Philipp Hennig. I'm working on probabilistic numerical algorithms for solving ordinary differential equations. This means that I'm curious what happens if you look at numerical algorithms from an inference/estimation perspective. More specifically, I try to answer two questions:
Using Gaussian process models we have made some progress with both questions.
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You can download my full CV as PDF.