Junior Professor Dr. Christopher Morris - Heinz Maier-Leibnitz Prizewinner 2024
Maschine Learning, RWTH Aachen
Artificial intelligence – and machine learning methods in particular – have permeated almost all areas of computer applications in recent years. Whether consciously or unconsciously, many people frequently use machine learning, for example in image and language processing. It is less commonly used in other areas such as transport links, social networks or molecular structures, however, since these are based on more complex networked data structures. These networks can be visualised as graphs consisting of nodes and edges.
Christopher Morris is working on developing machine learning methods for such networked data and has already made key contributions to the theory of graph neural networks. His studies show when these methods are capable of making reliable predictions, resulting in a new class of machine learning methods for graphs that are demonstrably superior to previously established methods.