The GRIS Team

In my PhD, I am working on Neural Cellular Automata (NCA) in medical imaging, i.e. neural adaptation of Cellular Automata such as 'Game of Life', which has been shown to be Turing-complete. NCA is a recently emerging field of machine learning, where a model is only one cell in size and can solely communicate with its immediate neighbours. Global knowledge is gained by iteratively applying this model to each cell, e.g. of an image. In this sense, NCAs differ from typical deep learning models, have been shown to be robust in image generation tasks, and generally have fewer than 100k parameters. Despite their small size, they can achieve similar performance to models thousands of times larger in tasks such as segmentation.

Besides my university duties, I am involved in RACOON. You can follow me on Twitter at @kalkjo and see my publications on Google Scholar.

If you are curious about NCAs, feel free to email me so we can discuss possible 'Visual Computing Praktikum' and Master Thesis topics.