Joël Mathys

PhD Student in Machine Learning

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

I investigate how to build better graph learning architectures and teach neural networks to reason properly. More broadly, I am interested in how we can achieve generalization, particularly in extrapolation settings using reasoning and computation depth.

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