I'm the creator of PyG (PyTorch Geometric) and a founding engineer at kumo.ai, working on making state-of-the-art Graph Neural Network solutions readily available to large-scale data warehouses. Previously, I obtained my PhD with highest distinction "summa cum laude" in Machine Learning on graphs from the TU Dortmund University. My main area of interest lies in the generalization of Deep Learning methods to a wide range of applications related to structured data.
I have a formal background in Computer Science (M.Sc 2017, B.Sc. 2013) and gathered five years worth of experience at a software company during studies.
In my freetime I'm passioned about new technologies and community-driven open-source development. I'm an enthusiast for PyTorch, node.js, CSS, React, macOS, Arch Linux and Vim. All my contributions can be found at my GitHub page.