Hi 👋

I pursue my doctoral studies as part of MUDS programme at the Computational Health Center at Helmholtz Munich and the Technical University Munich (TUM), supervised by Fabian Theis and Stephan Günnemann. I am interested in generative models, in particular for graph-structued data, and their application to the sciences, mostly in the domain of single-cell genomics and drug discovery, i.e. small molecules or proteins.

Prior to my PhD, I have interned at the Bosch Center for AI and worked on explanation methods in computer vision and co-authored the paper “Interpretable and fine-grained visual explanations for convolutional neural networks”.

In addition to my academic pursuits, I am passionate about addressing the societal dimensions of AI. I have co-authored the book “Wie Maschinen lernen” to make machine learning accessible to a wide audience and actively engage in teaching computer science to both elementary and high school students through initiatives like KI macht Schule. I firmly believe in the importance of introducing young learners to contemporary computer science topics from an early age.

If you are confused by my GitHub handle: The German pendant to “John Doe” is “Max Musterman”. Strip away the vowels and you have it: MxMstrmn.