Joël Mathys

PhD Student in Machine Learning

I explore the boundaries of graph machine learning and neural reasoning.

The objective of my research is to understand what techniques make up good graph learning architectures. I am also interested in studying long-range interactions in graphs and developing neural algorithmic reasoning techniques that advance our understanding of learned reasoning and how we can teach machines to properly generalize.

I completed my studies at ETH Zurich and joined the DISCO Lab in 2022 under the supervision of Professor Roger Wattenhofer.

Get in Touch: jmathys (at) ethz (dot) ch