Heinrich Campe PhD Student in joint supervision

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Heinrich Campe

In the Scientific AI lab, I am a PhD student working with machine learning in Bayesian inference, particularly working with Markov chain Monte-Carlo methods. Bridging the gap to theoretical physics, I’m using methods from information geometry as well as statistical physics and thermodynamics.

Including machine learning, I am interested in algorithms in general and how the theoretical understanding of both their objectives and inner workings may help us improve their performance.

My free time is mostly filled with music – I enjoy playing the piano both in a classical and Jazz setting.